Pith Number

pith:DTQNPLMK

pith:2026:DTQNPLMKQ3Y52WBCIA65XCFPVH

not attested not anchored not stored refs pending

Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers

Annika Buchholz, Frederik Fiand, Janina Zittel, Lukas Mehl, Manuel Wetzel, Michael Bussieck, Niels Lindner, Thorsten Koch

Distributed-memory interior-point methods deliver substantial speed-ups for block-angular energy system optimization problems.

arxiv:2605.04605 v2 · 2026-05-06 · math.OC

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{DTQNPLMKQ3Y52WBCIA65XCFPVH}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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

distributed-memory IPM can leverage problem structure to deliver substantial speed-ups on specific problems with block-angular structures. GPU-accelerated FOMs demonstrate strong scalability but may yield solutions with higher relative infeasibilities, which, depending on the use case and model uncertainty, can still be acceptable.

C2weakest assumption

That the diverse test set of large-scale linear programs arising from energy system analysis is representative of real-world instances and that the observed performance differences and accuracy trade-offs generalize beyond the tested cases.

C3one line summary

Distributed-memory IPMs deliver speed-ups on block-structured energy optimization problems while GPU FOMs scale well but produce solutions with higher infeasibility that may still be usable.

Receipt and verification

First computed	2026-07-24T01:24:11.855938Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1ce0d7ad8a86f1dd5822403ddb88afa9d17d65a0e5eee78a5e6f96a0aa963553

Aliases

arxiv: 2605.04605 · arxiv_version: 2605.04605v2 · doi: 10.48550/arxiv.2605.04605 · pith_short_12: DTQNPLMKQ3Y5 · pith_short_16: DTQNPLMKQ3Y52WBC · pith_short_8: DTQNPLMK

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DTQNPLMKQ3Y52WBCIA65XCFPVH \
  | 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: 1ce0d7ad8a86f1dd5822403ddb88afa9d17d65a0e5eee78a5e6f96a0aa963553

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ea3a8176435e9b70fbb89a33f6acf78b90dfc6c7ef664588b95df01909168b69",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2026-05-06T07:53:55Z",
    "title_canon_sha256": "4edd6c678ce7b6efe549dfe9bc7735be258d42d4b11e67c23fefc27f667bf040"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.04605",
    "kind": "arxiv",
    "version": 2
  }
}