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SUMMARY:Accelerating Generative AI on Custom Hardware Accelerators - Chall
 enges and Opportunities - Partha Maji (Tenstorrent)
DTSTART:20240123T130000Z
DTEND:20240123T140000Z
UID:TALK206038@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:This presentation will center around the implementation challe
 nges associated with generative AI on emerging spatial computing hardware.
  A comprehensive examination of the Tensix core architecture\, integrated 
 within the flagship Wormhole chips provided by Tenstorrent Inc.\, will be 
 undertaken. Subsequently\, we will assess state-of-the-art Large Language 
 Models (LLMs) and investigate diverse approaches to effectively map these 
 models onto the underlying hardware fabric. The presentation will be concl
 uded by emphasizing various challenges and delineating prospects for furth
 er research in the domains of model design and optimization.\n\n*Bio:* Par
 tha Maji currently serves as Technical Director of ML Hardware Acceleratio
 n at Tenstorrent\, a US based AI Hardware startup. Preceding this position
 \, he held the position of Head of ML Research at Arm UK. With more than 1
 8 years of industry experience\, Partha's expertise encompasses a diverse 
 spectrum of domains that intersect AI/ML algorithms\, software/compilers\,
  and hardware architectures. Partha earned his Doctorate in Computer Scien
 ce from the University of Cambridge.\n\n"You can also join us on Zoom":htt
 ps://cam-ac-uk.zoom.us/j/92041617729
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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