Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4
arXiv 2608.10103•ee0e24e9a33d1a240365be339525a1ebeba6eaa2aee417c4f88a529a22d013b6
GPU computingHPCLLM infrastructurearXivbenchmarkingcompressionfederated learningmachine learningprovenanceresearch
Paper metadata
- arXiv ID
- 2608.10103
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- ee0e24e9a33d1a240365be339525a1ebeba6eaa2aee417c4f88a529a22d013b6
- Enrichment time
- 2026-08-12T08:52:12Z
- AI-assisted enrichment
- Yes
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