From ba469a62503bef3d25213d9f408a788289411a4d Mon Sep 17 00:00:00 2001
From: Connor Tsui <connor.tsui20@gmail.com>
Date: Tue, 2 Apr 2024 16:30:11 -0400
Subject: [PATCH 1/5] first commit

---
 async-bpm                           |   1 +
 proposal/images/linux_io.png        | Bin 0 -> 117383 bytes
 proposal/images/traditional_bpm.png | Bin 0 -> 23343 bytes
 proposal/presentation2.md           | 123 ++++++++++++++++++++++++++++
 4 files changed, 124 insertions(+)
 create mode 160000 async-bpm
 create mode 100644 proposal/images/linux_io.png
 create mode 100644 proposal/images/traditional_bpm.png
 create mode 100644 proposal/presentation2.md

diff --git a/async-bpm b/async-bpm
new file mode 160000
index 0000000..8d3d1bd
--- /dev/null
+++ b/async-bpm
@@ -0,0 +1 @@
+Subproject commit 8d3d1bd47123227fbf6764b718977d31a41337f7
diff --git a/proposal/images/linux_io.png b/proposal/images/linux_io.png
new file mode 100644
index 0000000000000000000000000000000000000000..f303f130eeec4635ff60d26a2266e85708d07f0d
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diff --git a/proposal/presentation2.md b/proposal/presentation2.md
new file mode 100644
index 0000000..30c53c1
--- /dev/null
+++ b/proposal/presentation2.md
@@ -0,0 +1,123 @@
+---
+marp: true
+theme: default
+class: invert # Remove this line for light mode
+paginate: true
+---
+
+
+# Asynchronous Buffer Pool Manager
+
+## **Authors: Connor, Kyle, Sarvesh**
+
+
+---
+
+
+# Recap: Buffer Pool Manager
+
+A buffer pool manager manages synchronizing data between volatile memory and persistent storage.
+
+* In charge of bringing data from storage into memory in the form of pages
+* In charge of synchronizing reads and writes to the memory-local page data
+* In charge of writing data back out to disk so it is synchronized
+
+
+---
+
+
+# Traditional Buffer Pool Manager
+
+![bg right:50% 100%](images/traditional_bpm.png)
+
+Traditional BPMs will use a global hash table that maps page IDs to memory frames.
+
+* Source: _LeanStore: In-Memory Data Management Beyond Main Memory (2018)_
+
+
+---
+
+
+# Recap: Blocking I/O
+
+Additionally, traditional buffer pool managers will use blocking reads and writes to send data between memory and persistent storage.
+
+Blocking I/O is heavily reliant on the Operating System.
+
+> The DBMS can almost always manage memory better than the OS
+
+* Source: 15-445 Lecture 6 on Buffer Pools
+
+
+---
+
+
+# Recap: I/O System Calls
+
+What happens when we issue a `pread()` or `pwrite()` call?
+
+* We stop what we're doing
+* We transfer control to the kernel
+* _We are blocked waiting for the kernel to finish and transfer control back_
+    * _A read from disk is *probably* scheduled somewhere_
+    * _Something gets copied into the kernel_
+    * _The kernel copies that something into userspace_
+* We come back and resume execution
+
+
+---
+
+
+# Blocking I/O for Buffer Pool Managers
+
+Blocking I/O is fine for most situations, but might be a bottleneck for a DBMS's Buffer Pool Manager.
+
+* Typically optimizations are implemented to offset the cost of blocking:
+    * Pre-fetching
+    * Scan-sharing
+    * Background writing
+    * `O_DIRECT`
+
+
+---
+
+
+# Non-blocking I/O
+
+What if we could do I/O _without_ blocking? There exist a few ways to do this:
+
+* `libaio`
+* `io_uring`
+* SPDK
+* All of these allow for _asynchronous I/O_
+
+
+---
+
+
+# `io_uring`
+
+![bg right:50% 90%](images/linux_io.png)
+
+This Buffer Pool Manager is going to be built with asynchronous I/O using `io_uring`.
+
+* Source: _What Modern NVMe Storage Can Do, And How To Exploit It... (2022)_
+
+
+---
+
+
+# Asynchronous I/O
+
+Asynchronous I/O really only works when the programs running on top of it implement _cooperative multitasking_.
+
+* At a high level, the kernel gets to decide what thread gets to run
+* Cooperative multitasking allows the program to decide
+
+
+---
+
+
+
+
+

From e7c96f69aae4580a935fd27604d9e21830fa12c2 Mon Sep 17 00:00:00 2001
From: Connor Tsui <connor.tsui20@gmail.com>
Date: Tue, 2 Apr 2024 16:53:19 -0400
Subject: [PATCH 2/5] finish first draft of presentation 2

---
 proposal/images/bpm_design.png | Bin 0 -> 170858 bytes
 proposal/presentation2.md      |  74 ++++++++++++++++++++++++++++++++-
 2 files changed, 72 insertions(+), 2 deletions(-)
 create mode 100644 proposal/images/bpm_design.png

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diff --git a/proposal/presentation2.md b/proposal/presentation2.md
index 30c53c1..efffb37 100644
--- a/proposal/presentation2.md
+++ b/proposal/presentation2.md
@@ -101,7 +101,7 @@ What if we could do I/O _without_ blocking? There exist a few ways to do this:
 
 This Buffer Pool Manager is going to be built with asynchronous I/O using `io_uring`.
 
-* Source: _What Modern NVMe Storage Can Do, And How To Exploit It... (2022)_
+* Source: _What Modern NVMe Storage Can Do, And How To Exploit It... (2023)_
 
 
 ---
@@ -112,12 +112,82 @@ This Buffer Pool Manager is going to be built with asynchronous I/O using `io_ur
 Asynchronous I/O really only works when the programs running on top of it implement _cooperative multitasking_.
 
 * At a high level, the kernel gets to decide what thread gets to run
-* Cooperative multitasking allows the program to decide
+* Cooperative multitasking allows the program to decide who gets to run
+* Context switching between tasks is a lightweight maneuver
+* If one task is waiting for I/O, we can cheaply switch to a different task!
 
 
 ---
 
 
+# Eggstrain
 
+The key thing here is that our Execution Engine `eggstrain` fully embraces asynchronous execution.
 
+* Rust has first-class support for asynchronous programs
+* Using `async` libraries is almost as simple as plug-and-play
+* The `tokio` crate is an easy runtime to get set up
+* We can easily create a buffer pool manager in the form of a Rust library crate
 
+
+---
+
+
+# Goals
+
+The goal of this system is to _fully exploit parallelism_.
+
+* NVMe drives have gotten really, really fast
+* Blocking I/O simply cannot match the full throughput of an NVMe drive
+* They are _completely_ bottle-necked by today's software
+* If we can fully exploit parallelism in software _and_ hardware, we can get close to matching the speed of in-memory systems, while using persistent storage
+
+
+---
+
+
+# Proposed Design
+
+The next slide has a proposed design for a fully asynchronous buffer pool manager. The full (somewhat incomplete) writeup can be found [here](https://github.com/Connortsui20/async-bpm).
+
+* Heavily inspired by LeanStore
+    * Eliminates the global page table and uses tagged pointers to data
+* Even more inspired by this paper:
+    * _What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines (2023)_
+        * Gabriel Haas and Viktor Leis
+* The goal is to _eliminate as many sources of global contention as possible_
+
+
+---
+
+
+![bg 100%](images/bpm_design.png)
+
+
+---
+
+
+# Some Issues
+
+* There is a scheduler-per-thread, but no scheduler assigning tasks to specific workers (so it does not work with a multithreaded asynchronous runtime)
+* The proposed design does not have a backend stage to fully synchronize I/O
+* Eviction is done naively by a single worker thread
+    * Deadlocks!!!
+* Will probably switch to polling a list of free frames that gets populated by foreground tasks
+
+
+---
+
+
+# Future Work
+
+* This will definitely not be done by the end of this semester
+* Which means our execution engine is also not going to be "complete"
+* Our contribution is the beginning of an implementation of an asynchronous Buffer Pool Manager in Rust
+    * That can theoretically be plugged into any asynchronous execution engine like `eggstrain` or even DataFusion
+
+
+---
+
+
+# **Thank you!**
\ No newline at end of file

From 071d6bd1c14fede39d6ed4ab0b05bfcd2f56c627 Mon Sep 17 00:00:00 2001
From: Kyle Booker <kyletbooker@gmail.com>
Date: Wed, 3 Apr 2024 13:39:59 -0400
Subject: [PATCH 3/5] Last minute changes

---
 proposal/presentation2.md | 143 +++++++++++++++++---------------------
 1 file changed, 64 insertions(+), 79 deletions(-)

diff --git a/proposal/presentation2.md b/proposal/presentation2.md
index efffb37..c4ec7af 100644
--- a/proposal/presentation2.md
+++ b/proposal/presentation2.md
@@ -5,39 +5,48 @@ class: invert # Remove this line for light mode
 paginate: true
 ---
 
-
 # Asynchronous Buffer Pool Manager
 
 ## **Authors: Connor, Kyle, Sarvesh**
 
+---
+
+# Eggstrain - Demo on TPC-H Query 1
+
+Our proof of concept is a demo on TPC-H Query 1 using the `eggstrain` execution engine.
+
+The main contribution is our asynchronous framework utilizing tokio and rayon threads.
 
 ---
 
+# The End of Eggstrain
+
+With this working demo, we have almost completed our initial goal of creating an execution engine with the operators we have previously discussed.
+
+While there is still more work to be done in making the engine more robust and feature-rich, we have laid the groundwork for a powerful and efficient execution engine. However, to fully realize the potential of this engine, we need to implement a buffer pool manager that can keep up with the engine's speed and parallism.
+
+---
 
 # Recap: Buffer Pool Manager
 
 A buffer pool manager manages synchronizing data between volatile memory and persistent storage.
 
-* In charge of bringing data from storage into memory in the form of pages
-* In charge of synchronizing reads and writes to the memory-local page data
-* In charge of writing data back out to disk so it is synchronized
-
+- In charge of bringing data from storage into memory in the form of pages
+- In charge of synchronizing reads and writes to the memory-local page data
+- In charge of writing data back out to disk so it is synchronized
 
 ---
 
-
 # Traditional Buffer Pool Manager
 
 ![bg right:50% 100%](images/traditional_bpm.png)
 
 Traditional BPMs will use a global hash table that maps page IDs to memory frames.
 
-* Source: _LeanStore: In-Memory Data Management Beyond Main Memory (2018)_
-
+- Source: _LeanStore: In-Memory Data Management Beyond Main Memory (2018)_
 
 ---
 
-
 # Recap: Blocking I/O
 
 Additionally, traditional buffer pool managers will use blocking reads and writes to send data between memory and persistent storage.
@@ -46,148 +55,124 @@ Blocking I/O is heavily reliant on the Operating System.
 
 > The DBMS can almost always manage memory better than the OS
 
-* Source: 15-445 Lecture 6 on Buffer Pools
-
+- Source: 15-445 Lecture 6 on Buffer Pools
 
 ---
 
-
 # Recap: I/O System Calls
 
 What happens when we issue a `pread()` or `pwrite()` call?
 
-* We stop what we're doing
-* We transfer control to the kernel
-* _We are blocked waiting for the kernel to finish and transfer control back_
-    * _A read from disk is *probably* scheduled somewhere_
-    * _Something gets copied into the kernel_
-    * _The kernel copies that something into userspace_
-* We come back and resume execution
-
+- We stop what we're doing
+- We transfer control to the kernel
+- _We are blocked waiting for the kernel to finish and transfer control back_
+  - _A read from disk is *probably* scheduled somewhere_
+  - _Something gets copied into the kernel_
+  - _The kernel copies that something into userspace_
+- We come back and resume execution
 
 ---
 
-
 # Blocking I/O for Buffer Pool Managers
 
 Blocking I/O is fine for most situations, but might be a bottleneck for a DBMS's Buffer Pool Manager.
 
-* Typically optimizations are implemented to offset the cost of blocking:
-    * Pre-fetching
-    * Scan-sharing
-    * Background writing
-    * `O_DIRECT`
-
+- Typically optimizations are implemented to offset the cost of blocking:
+  - Pre-fetching
+  - Scan-sharing
+  - Background writing
+  - `O_DIRECT`
 
 ---
 
-
 # Non-blocking I/O
 
 What if we could do I/O _without_ blocking? There exist a few ways to do this:
 
-* `libaio`
-* `io_uring`
-* SPDK
-* All of these allow for _asynchronous I/O_
-
+- `libaio`
+- `io_uring`
+- SPDK
+- All of these allow for _asynchronous I/O_
 
 ---
 
-
 # `io_uring`
 
 ![bg right:50% 90%](images/linux_io.png)
 
 This Buffer Pool Manager is going to be built with asynchronous I/O using `io_uring`.
 
-* Source: _What Modern NVMe Storage Can Do, And How To Exploit It... (2023)_
-
+- Source: _What Modern NVMe Storage Can Do, And How To Exploit It... (2023)_
 
 ---
 
-
 # Asynchronous I/O
 
 Asynchronous I/O really only works when the programs running on top of it implement _cooperative multitasking_.
 
-* At a high level, the kernel gets to decide what thread gets to run
-* Cooperative multitasking allows the program to decide who gets to run
-* Context switching between tasks is a lightweight maneuver
-* If one task is waiting for I/O, we can cheaply switch to a different task!
-
+- At a high level, the kernel gets to decide what thread gets to run
+- Cooperative multitasking allows the program to decide who gets to run
+- Context switching between tasks is a lightweight maneuver
+- If one task is waiting for I/O, we can cheaply switch to a different task!
 
 ---
 
-
 # Eggstrain
 
 The key thing here is that our Execution Engine `eggstrain` fully embraces asynchronous execution.
 
-* Rust has first-class support for asynchronous programs
-* Using `async` libraries is almost as simple as plug-and-play
-* The `tokio` crate is an easy runtime to get set up
-* We can easily create a buffer pool manager in the form of a Rust library crate
-
+- Rust has first-class support for asynchronous programs
+- Using `async` libraries is almost as simple as plug-and-play
+- The `tokio` crate is an easy runtime to get set up
+- We can easily create a buffer pool manager in the form of a Rust library crate
 
 ---
 
-
 # Goals
 
 The goal of this system is to _fully exploit parallelism_.
 
-* NVMe drives have gotten really, really fast
-* Blocking I/O simply cannot match the full throughput of an NVMe drive
-* They are _completely_ bottle-necked by today's software
-* If we can fully exploit parallelism in software _and_ hardware, we can get close to matching the speed of in-memory systems, while using persistent storage
-
+- NVMe drives have gotten really, really fast
+- Blocking I/O simply cannot match the full throughput of an NVMe drive
+- They are _completely_ bottle-necked by today's software
+- If we can fully exploit parallelism in software _and_ hardware, we can get close to matching the speed of in-memory systems, while using persistent storage
 
 ---
 
-
 # Proposed Design
 
 The next slide has a proposed design for a fully asynchronous buffer pool manager. The full (somewhat incomplete) writeup can be found [here](https://github.com/Connortsui20/async-bpm).
 
-* Heavily inspired by LeanStore
-    * Eliminates the global page table and uses tagged pointers to data
-* Even more inspired by this paper:
-    * _What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines (2023)_
-        * Gabriel Haas and Viktor Leis
-* The goal is to _eliminate as many sources of global contention as possible_
-
+- Heavily inspired by LeanStore
+  - Eliminates the global page table and uses tagged pointers to data
+- Even more inspired by this paper:
+  - _What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines (2023)_
+    - Gabriel Haas and Viktor Leis
+- The goal is to _eliminate as many sources of global contention as possible_
 
 ---
 
-
 ![bg 100%](images/bpm_design.png)
 
-
 ---
 
-
 # Some Issues
 
-* There is a scheduler-per-thread, but no scheduler assigning tasks to specific workers (so it does not work with a multithreaded asynchronous runtime)
-* The proposed design does not have a backend stage to fully synchronize I/O
-* Eviction is done naively by a single worker thread
-    * Deadlocks!!!
-* Will probably switch to polling a list of free frames that gets populated by foreground tasks
-
+- There is a scheduler-per-thread, but no scheduler assigning tasks to specific workers (so it does not work with a multithreaded asynchronous runtime)
+- The proposed design does not have a backend stage to fully synchronize I/O
+- Eviction is done naively by a single worker thread
+  - Deadlocks!!!
+- Will probably switch to polling a list of free frames that gets populated by foreground tasks
 
 ---
 
-
 # Future Work
 
-* This will definitely not be done by the end of this semester
-* Which means our execution engine is also not going to be "complete"
-* Our contribution is the beginning of an implementation of an asynchronous Buffer Pool Manager in Rust
-    * That can theoretically be plugged into any asynchronous execution engine like `eggstrain` or even DataFusion
-
+- This will definitely not be done by the end of this semester
+- Which means our execution engine is also not going to be "complete" in that we will not support spill-to-disk
+- Our contribution is the beginning of an implementation of an asynchronous Buffer Pool Manager in Rust
+  - That can theoretically be plugged into any asynchronous execution engine like `eggstrain` or even DataFusion
 
 ---
 
-
-# **Thank you!**
\ No newline at end of file
+# **Thank you!**

From ef80826134f5583ee10b006beba6476ce0cbeb95 Mon Sep 17 00:00:00 2001
From: Kyle Booker <kyletbooker@gmail.com>
Date: Wed, 3 Apr 2024 13:49:51 -0400
Subject: [PATCH 4/5] Made second slide more concise

---
 proposal/presentation2.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/proposal/presentation2.md b/proposal/presentation2.md
index c4ec7af..6749935 100644
--- a/proposal/presentation2.md
+++ b/proposal/presentation2.md
@@ -5,7 +5,7 @@ class: invert # Remove this line for light mode
 paginate: true
 ---
 
-# Asynchronous Buffer Pool Manager
+# Eggstrain and Beyond
 
 ## **Authors: Connor, Kyle, Sarvesh**
 
@@ -23,7 +23,9 @@ The main contribution is our asynchronous framework utilizing tokio and rayon th
 
 With this working demo, we have almost completed our initial goal of creating an execution engine with the operators we have previously discussed.
 
-While there is still more work to be done in making the engine more robust and feature-rich, we have laid the groundwork for a powerful and efficient execution engine. However, to fully realize the potential of this engine, we need to implement a buffer pool manager that can keep up with the engine's speed and parallism.
+- More work to be more robust and feature-rich
+- Foundation for a powerful and efficient async execution engine
+- Need new async bpm to support the engine
 
 ---
 

From 1840c21bfd80572a768eff67239af62f68873142 Mon Sep 17 00:00:00 2001
From: Connor Tsui <connor.tsui20@gmail.com>
Date: Wed, 3 Apr 2024 13:51:41 -0400
Subject: [PATCH 5/5] finish

---
 async-bpm                   |   2 +-
 proposal/presentation2.html | 188 ++++++++++++++++++++++++++++++++++++
 proposal/presentation2.md   |   1 -
 3 files changed, 189 insertions(+), 2 deletions(-)
 create mode 100644 proposal/presentation2.html

diff --git a/async-bpm b/async-bpm
index 8d3d1bd..64ba426 160000
--- a/async-bpm
+++ b/async-bpm
@@ -1 +1 @@
-Subproject commit 8d3d1bd47123227fbf6764b718977d31a41337f7
+Subproject commit 64ba42610258e561c2baaaa758f177981263c3a6
diff --git a/proposal/presentation2.html b/proposal/presentation2.html
new file mode 100644
index 0000000..ef78e61
--- /dev/null
+++ b/proposal/presentation2.html
@@ -0,0 +1,188 @@
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+/*!
+ * Marp default theme.
+ *
+ * @theme default
+ * @author Yuki Hattori
+ *
+ * @auto-scaling true
+ * @size 16:9 1280px 720px
+ * @size 4:3 960px 720px
+ */div#\:\$p>svg>foreignObject>section,div#\:\$p>svg>foreignObject>section [data-theme=light]{--color-prettylights-syntax-comment:#6e7781;--color-prettylights-syntax-constant:#0550ae;--color-prettylights-syntax-entity:#6639ba;--color-prettylights-syntax-storage-modifier-import:#24292f;--color-prettylights-syntax-entity-tag:#116329;--color-prettylights-syntax-keyword:#cf222e;--color-prettylights-syntax-string:#0a3069;--color-prettylights-syntax-variable:#953800;--color-prettylights-syntax-brackethighlighter-unmatched:#82071e;--color-prettylights-syntax-invalid-illegal-text:#f6f8fa;--color-prettylights-syntax-invalid-illegal-bg:#82071e;--color-prettylights-syntax-carriage-return-text:#f6f8fa;--color-prettylights-syntax-carriage-return-bg:#cf222e;--color-prettylights-syntax-string-regexp:#116329;--color-prettylights-syntax-markup-list:#3b2300;--color-prettylights-syntax-markup-heading:#0550ae;--color-prettylights-syntax-markup-italic:#24292f;--color-prettylights-syntax-markup-bold:#24292f;--color-prettylights-syntax-markup-deleted-text:#82071e;--color-prettylights-syntax-markup-deleted-bg:#ffebe9;--color-prettylights-syntax-markup-inserted-text:#116329;--color-prettylights-syntax-markup-inserted-bg:#dafbe1;--color-prettylights-syntax-markup-changed-text:#953800;--color-prettylights-syntax-markup-changed-bg:#ffd8b5;--color-prettylights-syntax-markup-ignored-text:#eaeef2;--color-prettylights-syntax-markup-ignored-bg:#0550ae;--color-prettylights-syntax-meta-diff-range:#8250df;--color-prettylights-syntax-brackethighlighter-angle:#57606a;--color-prettylights-syntax-sublimelinter-gutter-mark:#8c959f;--color-prettylights-syntax-constant-other-reference-link:#0a3069;--color-fg-default:#1f2328;--color-fg-muted:#656d76;--color-fg-subtle:#6e7781;--color-canvas-default:#fff;--color-canvas-subtle:#f6f8fa;--color-border-default:#d0d7de;--color-border-muted:#d8dee4;--color-neutral-muted:rgba(175,184,193,.2);--color-accent-fg:#0969da;--color-accent-emphasis:#0969da;--color-attention-subtle:#fff8c5;--color-danger-fg:#d1242f;color-scheme:light}div#\:\$p>svg>foreignObject>section 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class="bespoke-marp-osc"><button data-bespoke-marp-osc="prev" tabindex="-1" title="Previous slide">Previous slide</button><span data-bespoke-marp-osc="page"></span><button data-bespoke-marp-osc="next" tabindex="-1" title="Next slide">Next slide</button><button data-bespoke-marp-osc="fullscreen" tabindex="-1" title="Toggle fullscreen (f)">Toggle fullscreen</button><button data-bespoke-marp-osc="presenter" tabindex="-1" title="Open presenter view (p)">Open presenter view</button></div><div id=":$p"><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="1" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="1" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="eggstrain-and-beyond">Eggstrain and Beyond</h1>
+<h2 id="authors-connor-kyle-sarvesh"><strong>Authors: Connor, Kyle, Sarvesh</strong></h2>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="2" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="2" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="eggstrain---demo-on-tpc-h-query-1">Eggstrain - Demo on TPC-H Query 1</h1>
+<p>Our proof of concept is a demo on TPC-H Query 1 using the <code>eggstrain</code> execution engine.</p>
+<p>The main contribution is our asynchronous framework utilizing tokio and rayon threads.</p>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="3" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="3" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="the-end-of-eggstrain">The End of Eggstrain</h1>
+<p>With this working demo, we have almost completed our initial goal of creating an execution engine with the operators we have previously discussed.</p>
+<ul>
+<li>More work to be more robust and feature-rich</li>
+<li>Foundation for a powerful and efficient async execution engine</li>
+<li>Need new async bpm to support the engine</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="4" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="4" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="recap-buffer-pool-manager">Recap: Buffer Pool Manager</h1>
+<p>A buffer pool manager manages synchronizing data between volatile memory and persistent storage.</p>
+<ul>
+<li>In charge of bringing data from storage into memory in the form of pages</li>
+<li>In charge of synchronizing reads and writes to the memory-local page data</li>
+<li>In charge of writing data back out to disk so it is synchronized</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="5" style="--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="18" data-marpit-advanced-background="background" data-marpit-advanced-background-split="right"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;images/traditional_bpm.png&quot;);background-size:100%;"></figure></div></section></foreignObject><foreignObject width="50%" height="720"><section id="5" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="5" style="--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="18" data-marpit-advanced-background="content" data-marpit-advanced-background-split="right">
+<h1 id="traditional-buffer-pool-manager">Traditional Buffer Pool Manager</h1>
+
+<p>Traditional BPMs will use a global hash table that maps page IDs to memory frames.</p>
+<ul>
+<li>Source: <em>LeanStore: In-Memory Data Management Beyond Main Memory (2018)</em></li>
+</ul>
+</section>
+</foreignObject><foreignObject width="1280" height="720" data-marpit-advanced-background="pseudo"><section data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="5" style="" data-marpit-pagination-total="18" data-marpit-advanced-background="pseudo" data-marpit-advanced-background-split="right"></section></foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="6" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="6" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="recap-blocking-io">Recap: Blocking I/O</h1>
+<p>Additionally, traditional buffer pool managers will use blocking reads and writes to send data between memory and persistent storage.</p>
+<p>Blocking I/O is heavily reliant on the Operating System.</p>
+<blockquote>
+<p>The DBMS can almost always manage memory better than the OS</p>
+</blockquote>
+<ul>
+<li>Source: 15-445 Lecture 6 on Buffer Pools</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="7" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="7" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="recap-io-system-calls">Recap: I/O System Calls</h1>
+<p>What happens when we issue a <code>pread()</code> or <code>pwrite()</code> call?</p>
+<ul>
+<li>We stop what we're doing</li>
+<li>We transfer control to the kernel</li>
+<li><em>We are blocked waiting for the kernel to finish and transfer control back</em>
+<ul>
+<li><em>A read from disk is <em>probably</em> scheduled somewhere</em></li>
+<li><em>Something gets copied into the kernel</em></li>
+<li><em>The kernel copies that something into userspace</em></li>
+</ul>
+</li>
+<li>We come back and resume execution</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="8" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="8" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="blocking-io-for-buffer-pool-managers">Blocking I/O for Buffer Pool Managers</h1>
+<p>Blocking I/O is fine for most situations, but might be a bottleneck for a DBMS's Buffer Pool Manager.</p>
+<ul>
+<li>Typically optimizations are implemented to offset the cost of blocking:
+<ul>
+<li>Pre-fetching</li>
+<li>Scan-sharing</li>
+<li>Background writing</li>
+<li><code>O_DIRECT</code></li>
+</ul>
+</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="9" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="9" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="non-blocking-io">Non-blocking I/O</h1>
+<p>What if we could do I/O <em>without</em> blocking? There exist a few ways to do this:</p>
+<ul>
+<li><code>libaio</code></li>
+<li><code>io_uring</code></li>
+<li>SPDK</li>
+<li>All of these allow for <em>asynchronous I/O</em></li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="10" style="--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="18" data-marpit-advanced-background="background" data-marpit-advanced-background-split="right"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;images/linux_io.png&quot;);background-size:90%;"></figure></div></section></foreignObject><foreignObject width="50%" height="720"><section id="10" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="10" style="--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="18" data-marpit-advanced-background="content" data-marpit-advanced-background-split="right">
+<h1 id="io_uring"><code>io_uring</code></h1>
+
+<p>This Buffer Pool Manager is going to be built with asynchronous I/O using <code>io_uring</code>.</p>
+<ul>
+<li>Source: <em>What Modern NVMe Storage Can Do, And How To Exploit It... (2023)</em></li>
+</ul>
+</section>
+</foreignObject><foreignObject width="1280" height="720" data-marpit-advanced-background="pseudo"><section data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="10" style="" data-marpit-pagination-total="18" data-marpit-advanced-background="pseudo" data-marpit-advanced-background-split="right"></section></foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="11" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="11" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="asynchronous-io">Asynchronous I/O</h1>
+<p>Asynchronous I/O really only works when the programs running on top of it implement <em>cooperative multitasking</em>.</p>
+<ul>
+<li>At a high level, the kernel gets to decide what thread gets to run</li>
+<li>Cooperative multitasking allows the program to decide who gets to run</li>
+<li>Context switching between tasks is a lightweight maneuver</li>
+<li>If one task is waiting for I/O, we can cheaply switch to a different task!</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="12" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="12" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="eggstrain">Eggstrain</h1>
+<p>The key thing here is that our Execution Engine <code>eggstrain</code> fully embraces asynchronous execution.</p>
+<ul>
+<li>Rust has first-class support for asynchronous programs</li>
+<li>Using <code>async</code> libraries is almost as simple as plug-and-play</li>
+<li>The <code>tokio</code> crate is an easy runtime to get set up</li>
+<li>We can easily create a buffer pool manager in the form of a Rust library crate</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="13" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="13" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="goals">Goals</h1>
+<p>The goal of this system is to <em>fully exploit parallelism</em>.</p>
+<ul>
+<li>NVMe drives have gotten really, really fast</li>
+<li>Blocking I/O simply cannot match the full throughput of an NVMe drive</li>
+<li>They are <em>completely</em> bottle-necked by today's software</li>
+<li>If we can fully exploit parallelism in software <em>and</em> hardware, we can get close to matching the speed of in-memory systems, while using persistent storage</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="14" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="14" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="proposed-design">Proposed Design</h1>
+<p>The next slide has a proposed design for a fully asynchronous buffer pool manager. The full (somewhat incomplete) writeup can be found <a href="https://github.com/Connortsui20/async-bpm">here</a>.</p>
+<ul>
+<li>Heavily inspired by LeanStore
+<ul>
+<li>Eliminates the global page table and uses tagged pointers to data</li>
+</ul>
+</li>
+<li>Even more inspired by this paper:
+<ul>
+<li><em>What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines (2023)</em>
+<ul>
+<li>Gabriel Haas and Viktor Leis</li>
+</ul>
+</li>
+</ul>
+</li>
+<li>The goal is to <em>eliminate as many sources of global contention as possible</em></li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="15" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18" data-marpit-advanced-background="background"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;images/bpm_design.png&quot;);background-size:100%;"></figure></div></section></foreignObject><foreignObject width="1280" height="720"><section id="15" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="15" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18" data-marpit-advanced-background="content"></section>
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+<h1 id="some-issues">Some Issues</h1>
+<ul>
+<li>There is a scheduler-per-thread, but no scheduler assigning tasks to specific workers (so it does not work with a multithreaded asynchronous runtime)</li>
+<li>The proposed design does not have a backend stage to fully synchronize I/O</li>
+<li>Eviction is done naively by a single worker thread
+<ul>
+<li>Deadlocks!!!</li>
+</ul>
+</li>
+<li>Will probably switch to polling a list of free frames that gets populated by foreground tasks</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="17" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="17" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="future-work">Future Work</h1>
+<ul>
+<li>This will definitely not be done by the end of this semester</li>
+<li>Which means our execution engine is also not going to be &quot;complete&quot; in that we will not support spill-to-disk</li>
+<li>Our contribution is the beginning of an implementation of an asynchronous Buffer Pool Manager in Rust
+<ul>
+<li>That can theoretically be plugged into any asynchronous execution engine like <code>eggstrain</code> or even DataFusion</li>
+</ul>
+</li>
+</ul>
+</section>
+</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="18" data-paginate="true" data-theme="default" lang="C" data-marpit-pagination="18" style="--paginate:true;--theme:default;" data-marpit-pagination-total="18">
+<h1 id="thank-you"><strong>Thank you!</strong></h1>
+</section>
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diff --git a/proposal/presentation2.md b/proposal/presentation2.md
index 6749935..3641042 100644
--- a/proposal/presentation2.md
+++ b/proposal/presentation2.md
@@ -1,7 +1,6 @@
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-class: invert # Remove this line for light mode
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