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6 views my student Seong-Heon talking about one of our new projects at NYU! (We’re at NJPLS today, come say hi)

Now we can easily peek inside a computation, even deeply across library boundaries. This is great for finding performance issues buried in places you did not expect.
For example, using just a few lines of code we can identify a granularity control issue inside of a library we did not author ourselves. We describe a case study in detail in the paper.

4 views Now we can easily peek inside a computation, even deeply across library boundaries. This is great for finding performance issues buried in places you did not expect. For example, using just a few lines of code we can identify a granularity control issue inside of a library we did not author ourselves. We describe a case study in detail in the paper.

This paper is all about making it easy to dynamically observe the computation graph of a parallel execution (for profiling purposes, dynamic analyses, etc)
Customization is easy: just define a notion of vertex-local data and functions to update this data across forks and joins.
These custom vertices are handed off to an “augmented” scheduler, which incrementally maintains the computation graph und

2 views This paper is all about making it easy to dynamically observe the computation graph of a parallel execution (for profiling purposes, dynamic analyses, etc) Customization is easy: just define a notion of vertex-local data and functions to update this data across forks and joins. These custom vertices are handed off to an “augmented” scheduler, which incrementally maintains the computation graph und

1 views Video post

📊 Post engagement

📊 Activity & format

Posting cadence

0.39 / week

A lower-frequency account — each post lands with more weight.

Content mix

Mostly text

Recent: 7 text · 4 image · 1 video.

Follower / following

1.8×

Follows 232 back. A more reciprocal / networked account.

Recent posts

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🔥 Top post delighted to announce that our SPAA paper received an outstanding paper award! Scheduler Augmentation: A Lightweight, Low-Cost Profiling Technique for Fork-Join Parallel Programs https://cs.nyu.edu/~shw8119/26/schedaug-spaa26.pdf Joint work between myself and two of my students … ★ 17

(panopto preview is no good; recommend open in a separate window and then fast-forward to 1 hour mark) incredibly honored that our paper on Scheduler Augmentation won this year's _Best Paper Award_ at SPAA! This is joint work with my students Darshan Dinesh Kumar and Seong-Heon Jung. They did really fantastic work on this project! Check out… ★ 6

▶ Video post ★ 1 RE: https://discuss.systems/@shwestrick/116872683907627841 getting some cool visuals going… https://github.com/nyu-parcour/scheduler-augmentation/tree/graph-viz Critically, none of these analyses incur major overhead: just a few percent in typical applications and use-cases, and fully parallelized, with almost no impact on scalability. Scheduler augmentation is easily deactivated when not in use, …

In another case study, we measure the impact of a subtle space optimization. With just a few lines of code, we can empirically confirm that the optimization works as intended, by measuring peak memory consumption as an abstract property on…

Now we can easily peek inside a computation, even deeply across library boundaries. This is great for finding performance issues buried in places you did not expect. For example, using just a few lines of code we can identify a granularity… ★ 4

This paper is all about making it easy to dynamically observe the computation graph of a parallel execution (for profiling purposes, dynamic analyses, etc) Customization is easy: just define a notion of vertex-local data and functions to u… ★ 2 We've extended the deadline for the ML Family Workshop 2026! The new deadline is ** July 1, AoE ** The submission requirements are fairly minimal: only 2 pages. Please consider submitting, and encourage your friends to do so too! https:… ★ 2 the ML Family Workshop (@ ICFP'26) submission deadline is approaching -- **Wednesday June 24** Please consider submitting! We especially welcome works-in-progress. Submission requirements are minimal -- just 2 pages. https://icfp26.sigplan… ★ 3

my student Seong-Heon talking about one of our new projects at NYU! (We’re at NJPLS today, come say hi) ★ 6

🐘 Community & instance

Home server

discuss.systems

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Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.

On Mastodon since

Nov 2022

Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.

👁️Averages 5 views per post.

📤Posts about 0.4× per week.

🕵️ Fake follower check

Estimated

52/100

Fair Credibility score

76%

Mixed Real audience

Medium Fake-follower risk

High Data confidence

Est. 76% real, active audience · Medium fake-follower risk.
Low engagement (~1.2% of followers engage each post) — a sign of an inflated or inactive audience.
Verified account.
Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

assistant professor of CS at NYU Courant :: programming languages :: parallel computing :: music :: lead dev of the MaPLe compiler (https://github.com/mpllang/mpl)

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