Datensatz #341824 - GSI Repository

FMMF-AI

Fast Matrix Multiplication for AI

Grant period	2023-04-01 - 2024-09-30
Funding body	European Union
Call number	ERC-2022-POC2
Grant number	101113120
Identifier	G:(EU-Grant)101113120

Note: Matrix multiplication consumes huge amount of resources: computing time and energy, primarily in AI applications. The industry has recognized the need for faster and more energy-efficient matrix multiplication with state-of-the-art solutions in software (e.g., DGEMM of Intel's math kernel library (MKL) for CPU and NVIDIA's CUDA for GPU) and hardware (e.g., Google's TPU and Intel / Habana labs Gaudi accelerator). Unfortunately, all present solutions employ a wasteful cubic-time algorithm. We have developed methods that provide speedup for matrix multiplication in SW and in HW. The novel developments of Prof. Oded Schwartz and his strong team are based on years of research, and are protected by several patents. The funds are requested to pursue business opportunity.

Recent Publications

There are no publications

Datensatz erzeugt am 2023-08-27, letzte Änderung am 2023-08-27

Ähnliche Datensätze

Zum persönlichen Korb hinzufügen
Export als Author List with IDs BibTeX (UTF-8), EndNote XML, EndNote Text, RIS, MARC, Print MARC, MARCXML, DC,
Request correction
Submit fulltext

GSI Homepage \| GSI Library \| English Deutsch \| Gast :: Anmelden GSI Repository
Suchen	Absenden	Personalisieren Ihre Benachrichtigungen Ihre Körbe Ihre Suchanfragen	Hilfe