arXiv (All)
open access
How to grade the accuracy of the BLAS
Motivated by accelerating machine learning (ML), many computer vendors and chip manufacturers are building accelerators for matrix multiplication, which save time and energy by operating in the lower precisions needed for ML. This has in turn motivated many efforts to use these accelerators to provi
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- U.S. advanced and novel accelerator beam test facilities#784284
- ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts#386840
- FalconGEMM: Surpassing Hardware Peaks with Lower-Complexity Matrix Multiplication#168269
- AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures#120471
- 42 U.S.C. § 18648 — Accelerator research and development#588474
Record · ID 1000265
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive