HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
spcl
dace
Python2020–2020
spcl / dace

dace

DaCe - Data Centric Parallel Programming

2Distinct people
3Mentions
0Explicit recommenders
600GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

DaCe - Data Centric Parallel Programming

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week3 dated mentions

Observed mentions: 2020-06-22 09:16:11 UTC to 2020-09-02 11:13:17 UTC. Weeks start Monday, UTC.

0122020-06-22 00:00:00 UTC to 2020-06-29 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsJun 222020-06-29 00:00:00 UTC to 2020-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-06 00:00:00 UTC to 2020-07-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-13 00:00:00 UTC to 2020-07-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-20 00:00:00 UTC to 2020-07-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-27 00:00:00 UTC to 2020-08-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 272020-08-03 00:00:00 UTC to 2020-08-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-10 00:00:00 UTC to 2020-08-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-17 00:00:00 UTC to 2020-08-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-24 00:00:00 UTC to 2020-08-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-31 00:00:00 UTC to 2020-09-07 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 31

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 222020-06-22 00:00:00 UTC2020-06-29 00:00:00 UTC202
Jun 292020-06-29 00:00:00 UTC2020-07-06 00:00:00 UTC000
Jul 62020-07-06 00:00:00 UTC2020-07-13 00:00:00 UTC000
Jul 132020-07-13 00:00:00 UTC2020-07-20 00:00:00 UTC000
Jul 202020-07-20 00:00:00 UTC2020-07-27 00:00:00 UTC000
Jul 272020-07-27 00:00:00 UTC2020-08-03 00:00:00 UTC000
Aug 32020-08-03 00:00:00 UTC2020-08-10 00:00:00 UTC000
Aug 102020-08-10 00:00:00 UTC2020-08-17 00:00:00 UTC000
Aug 172020-08-17 00:00:00 UTC2020-08-24 00:00:00 UTC000
Aug 242020-08-24 00:00:00 UTC2020-08-31 00:00:00 UTC000
Aug 312020-08-31 00:00:00 UTC2020-09-07 00:00:00 UTC101

What Hacker News says

3 sources
Thanks for the kind words, I think that crown is for MKL-DNN / OneDNN though, for now ;), and in the deep learning domain. I also expect Halide[1], Taichi[2], DaCe[3] and Tiramisu[4] to be able to more easily reach those levels of performance hence why I want to add a compiler to Laser (implemented at compile-time via Nim macros) but prerequisite is excellent and composable multithreading support which OpenMP didn't provide. In statistics / data analysis, my PCA though (Principal Component Analysis) beats all implementations I've seen from Scipy, Facebook and R. [1]: https://halide-lang.org/ [2]: https://github.com/taichi-dev/taichi [3]: https://github.com/spcl/dace [4]: http://tiramisu-compiler.org/
In Rust concurrency: the archetype of a message-passing bug
Hey, I've been following up on Legion and Regent quite a bit, excellent work there. Do you have a set of benchmarks that others can reimplement to compare the approaches? I've added Dataflow Parallelism to my own multithreading runtime[1] but I didn't had dataflow focused benchmarks yet, well I could add Cholesky Decomposition but it's quite involved. I expect the people from TaskFlow[2] and Habanero[3] (via Data-Driven Futures) would be quite interested as well in a common set of dataflow parallelism benchmarks. By the way if you didn't read the DaCe paper[4] you absolutely should, seems like the age of Dataflow parallelism and properly optimizing for data is coming. [1]: https://github.com/mratsim/weave#dataflow-parallelism [2]: https://github.com/taskflow/taskflow [3]: https://github.com/habanero-rice/hclib [4]: https://github.com/spcl
Read the rest
In Regent: A Language for Implicit Dataflow Parallelism

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.