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SpareCores
sc-membench
C2026–2026
SpareCores / sc-membench

sc-membench

Modern Memory Bandwidth and Latency Benchmarks

2Distinct people
2Mentions
0Explicit recommenders
19GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Modern Memory Bandwidth and Latency Benchmarks

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, 5:04:57 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 6-hour interval2 dated mentions

Observed mentions: 2026-01-19 16:02:14 UTC to 2026-01-24 21:08:41 UTC.

012026-01-19 12:00:00 UTC to 2026-01-19 18:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 19, 12:002026-01-19 18:00:00 UTC to 2026-01-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-20 00:00:00 UTC to 2026-01-20 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-20 06:00:00 UTC to 2026-01-20 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-20 12:00:00 UTC to 2026-01-20 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-20 18:00:00 UTC to 2026-01-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-21 00:00:00 UTC to 2026-01-21 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-21 06:00:00 UTC to 2026-01-21 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-21 12:00:00 UTC to 2026-01-21 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-21 18:00:00 UTC to 2026-01-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-22 00:00:00 UTC to 2026-01-22 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 22, 00:002026-01-22 06:00:00 UTC to 2026-01-22 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-22 12:00:00 UTC to 2026-01-22 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-22 18:00:00 UTC to 2026-01-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-23 00:00:00 UTC to 2026-01-23 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-23 06:00:00 UTC to 2026-01-23 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-23 12:00:00 UTC to 2026-01-23 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-23 18:00:00 UTC to 2026-01-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-24 00:00:00 UTC to 2026-01-24 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-24 06:00:00 UTC to 2026-01-24 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-24 12:00:00 UTC to 2026-01-24 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-24 18:00:00 UTC to 2026-01-25 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJan 24, 18:00

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
Jan 19, 12:002026-01-19 12:00:00 UTC2026-01-19 18:00:00 UTC110
Jan 19, 18:002026-01-19 18:00:00 UTC2026-01-20 00:00:00 UTC000
Jan 20, 00:002026-01-20 00:00:00 UTC2026-01-20 06:00:00 UTC000
Jan 20, 06:002026-01-20 06:00:00 UTC2026-01-20 12:00:00 UTC000
Jan 20, 12:002026-01-20 12:00:00 UTC2026-01-20 18:00:00 UTC000
Jan 20, 18:002026-01-20 18:00:00 UTC2026-01-21 00:00:00 UTC000
Jan 21, 00:002026-01-21 00:00:00 UTC2026-01-21 06:00:00 UTC000
Jan 21, 06:002026-01-21 06:00:00 UTC2026-01-21 12:00:00 UTC000
Jan 21, 12:002026-01-21 12:00:00 UTC2026-01-21 18:00:00 UTC000
Jan 21, 18:002026-01-21 18:00:00 UTC2026-01-22 00:00:00 UTC000
Jan 22, 00:002026-01-22 00:00:00 UTC2026-01-22 06:00:00 UTC000
Jan 22, 06:002026-01-22 06:00:00 UTC2026-01-22 12:00:00 UTC000
Jan 22, 12:002026-01-22 12:00:00 UTC2026-01-22 18:00:00 UTC000
Jan 22, 18:002026-01-22 18:00:00 UTC2026-01-23 00:00:00 UTC000
Jan 23, 00:002026-01-23 00:00:00 UTC2026-01-23 06:00:00 UTC000
Jan 23, 06:002026-01-23 06:00:00 UTC2026-01-23 12:00:00 UTC000
Jan 23, 12:002026-01-23 12:00:00 UTC2026-01-23 18:00:00 UTC000
Jan 23, 18:002026-01-23 18:00:00 UTC2026-01-24 00:00:00 UTC000
Jan 24, 00:002026-01-24 00:00:00 UTC2026-01-24 06:00:00 UTC000
Jan 24, 06:002026-01-24 06:00:00 UTC2026-01-24 12:00:00 UTC000
Jan 24, 12:002026-01-24 12:00:00 UTC2026-01-24 18:00:00 UTC000
Jan 24, 18:002026-01-24 18:00:00 UTC2026-01-25 00:00:00 UTC110

What Hacker News says

2 sources
daroczig·Jan 19, 2026Submission

Show HN: sc-membench for modern memory bandwidth and latency benchmarks

Hey HN, I'd love to get your feedback on `sc-membench`, a modern, multi-platform, open-source memory bandwidth and latency benchmarking tool designed to work out of the box without manual tuning: - Comprehensive tests across read, write, copy, and latency (pointer chasing) workloads - Multi-platform (e.g. evaluated on multiple x86 and arm64 machines), portable (e.g. tested on BSD), and easy to run via Docker - Efficient multi-threaded measurements via OpenMP - Optimal thread placement and memory allocation for NUMA systems - Adaptive test sizes based on CPU cache amounts - Automatic Transparent Huge Pages Disclaimer: Yes, used LLMs both for coding and documentation updates -- but we validated the results carefully against existing tools and their shortcomings, the results look super promising so far, already got some encouraging early fee
Read the rest
dback from our direct network, so it's time to ask for scrutiny from the wider community /o\ Motivation: We previously benchmarked 3,000+ cloud server types using `bw_mem` from LMbench, but the results were not always consistent with the detected L1/L2/L3 cache sizes. Debugging identified both cache detection issues (mostly relying on `lscpu`, investigating `lstopo` now), and limitations of `bw_mem` as well, e.g. unexpected slowdowns on servers with 100+ vCPUs. See more details in the "Comparison with lmbench" section of the README. Why does your feedback matter? We plan to run this across ~5,000 cloud server types, so I'd highly appreciate your feedback on methodology, implementation correctness, example results, and any missing cases before burning through a lot of precious cloud credits :) Unfortunately, we don't have the resources to implement further metrics (e.g. prefetch-to-load distance, load buffer slots, atomic memory operation latency) in this batch, but I'd be happy to take related ideas on the roadmap.
2 points · Open discussion

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