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pith:43N7W3HX

pith:2026:43N7W3HXHLUKATEF6KLRK2WSPK
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Efficient and Portable Support for Overdecomposition on Distributed Memory GPGPU Platforms

Aditya Bhosale, Anant Jain, Laxmikant Kale, Peddoju Sateesh Kumar, Ritvik Rao, Shourya Goel

Techniques enable efficient overdecomposition on mixed-vendor GPGPU clusters and networks.

arxiv:2605.12734 v1 · 2026-05-12 · cs.DC

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Claims

C1strongest claim

We address this issue as well as the issue of portability by developing techniques and software that demonstrate that overdecomposition can be efficiently and productively supported on combinations of GPU vendor types, and interconnection networks.

C2weakest assumption

The higher overhead brought about by overpartitioning on GPGPUs can be mitigated by the developed techniques without losing the utility of overdecomposition.

C3one line summary

Charm++ techniques enable efficient overdecomposition on multi-vendor GPGPU distributed systems.

References

300 extracted · 300 resolved · 0 Pith anchors

[1] Fine-grained automated failure management for extreme-scale gpu accelerated systems 2025 · doi:10.1145/3712285.3759881
[2] and Kale, Laxmikant V
[3] Kokkos: Enabling manycore performance portability through polymorphic memory access patterns 2014 · doi:10.1016/j.jpdc.2014.07.003
[4] and Lelbach, Bryce Adelstein and Amini, Parsa and Berge, Agustín and Biddiscombe, John and Brandt, Steven R 2020 · doi:10.21105/joss.02352
[5] Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis , articleno = 2012
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First computed 2026-05-18T03:09:49.202829Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e6dbfb6cf73ae8a04c85f297156ad27aa8e222b1f5978fd7b430df0b7a350cc3

Aliases

arxiv: 2605.12734 · arxiv_version: 2605.12734v1 · doi: 10.48550/arxiv.2605.12734 · pith_short_12: 43N7W3HXHLUK · pith_short_16: 43N7W3HXHLUKATEF · pith_short_8: 43N7W3HX
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/43N7W3HXHLUKATEF6KLRK2WSPK \
  | 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: e6dbfb6cf73ae8a04c85f297156ad27aa8e222b1f5978fd7b430df0b7a350cc3
Canonical record JSON
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