Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
IEEE

Global EDF Schedulability Analysis for Parallel Tasks on Multi-Core Platforms

Abstract: With the widespread adoption of multi-core architectures, it is becoming more important to develop software in ways that takes advantage of such parallel architectures. This particularly ...
IEEE

FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs

Abstract: As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore's law, the computing industry has switched its route to higher ...