Pith Number

pith:3VSRKNJ6

pith:2026:3VSRKNJ6LPCOIQ2LGXCOV572Y3

not attested not anchored not stored refs pending

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Andy Balogh, Ashwin Ramachandran, Bradford M. Beckmann, Brian Coutinho, Changhai Man, Dan Mihailescu, David Kanter, Hanjiang Wu, Huan Xu, Jinsun Yoo, Joongun Park, Josh Ladd, Louis Feng, Mehryar Garakani, Phio Tian, Puneet Sharma, Saeed Rashidi, Sanshan Gao, Sheng Fu, Spandan More, Srinivas Sridharan, Taekyung Heo, Tushar Krishna, Vijay Janapa Reddi, Vinay Ramakrishnaiah, William Won, Winston Liu, Ziwei Li

Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design.

arxiv:2605.11333 v2 · 2026-05-11 · cs.DC · cs.LG · cs.PF

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace (ET). These ETs represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints.

C2weakest assumption

That the proposed Chakra ET format and associated tools will be effectively adopted and used by a broad range of simulators, emulators, and replay tools to deliver meaningful improvements in benchmarking and co-design.

C3one line summary

Chakra introduces a portable, interoperable graph-based execution trace format for distributed ML workloads along with supporting tools to standardize performance benchmarking and software-hardware co-design.

Receipt and verification

First computed	2026-05-20T00:03:17.677501Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74

Aliases

arxiv: 2605.11333 · arxiv_version: 2605.11333v2 · doi: 10.48550/arxiv.2605.11333 · pith_short_12: 3VSRKNJ6LPCO · pith_short_16: 3VSRKNJ6LPCOIQ2L · pith_short_8: 3VSRKNJ6

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ddda8730e0e3f236316c3669e719d27c4465cdd15463bf90a0df89241ddb1eac",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.PF"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-05-11T23:38:10Z",
    "title_canon_sha256": "e2763b8aa3ecb08f5448af653cad0dc5c7152b735fb4200644ff38a052cee15c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.11333",
    "kind": "arxiv",
    "version": 2
  }
}