pith:PCW2GJ3L
Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems
A hybrid MPI+OpenMP implementation scales BIT1 Particle-in-Cell Monte Carlo simulations to 16,000 GPUs on exascale systems.
arxiv:2603.24508 v3 · 2026-03-25 · physics.plasm-ph · cs.DC · cs.PF
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\usepackage{pith}
\pithnumber{PCW2GJ3LR7E6LBII6R75YZQVCW}
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Record completeness
Claims
Performance results on pre-exascale and exascale systems, including Frontier (OLCF-5) for up to 16,000 GPUs, demonstrate significant improvements in run time, scalability, and resource utilization for large-scale PIC MC simulations.
The assumption that the described optimizations preserve the numerical accuracy and physical correctness of the original BIT1 simulation while delivering the claimed performance gains, which is not demonstrated or quantified in the provided abstract.
A new multi-GPU hybrid MPI+OpenMP version of the BIT1 PIC MC code achieves scalable performance and improved resource utilization on up to 16,000 GPUs through OpenMP target tasks, persistent device memory, and standardized I/O.
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Receipt and verification
| First computed | 2026-06-09T02:07:25.022519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
78ada3276b8fc9e58508f47fdc6615158fd6f3da730f0c5d0ec7a4d531247cec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PCW2GJ3LR7E6LBII6R75YZQVCW \
| 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: 78ada3276b8fc9e58508f47fdc6615158fd6f3da730f0c5d0ec7a4d531247cec
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"submitted_at": "2026-03-25T16:48:23Z",
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