Sept. 5, 2023, 6:15 a.m. | Niharika Singh

MarkTechPost www.marktechpost.com

The evolution of artificial intelligence (AI) models and hardware accelerators has brought about unique challenges for compilers. These challenges stem from the constantly evolving architecture of AI models, such as the transition from RNNs and CNNs to more recent models like Transformers, alongside rapid advancements in hardware accelerators like GPUs and NPUs. As a result, […]


The post Microsoft Research Releases the ‘Heavy-Metal Quartet’ of AI Compilers: Rammer, Roller, Welder, and Grinder appeared first on MarkTechPost.

accelerators ai models ai shorts architecture artificial artificial intelligence challenges cnns compilers editors pick evolution hardware intelligence metal microsoft microsoft research quartet releases research stem tech news technology transformers transition

More from www.marktechpost.com / MarkTechPost

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York