Seongmin Hong
Scholar

Seongmin Hong

Google Scholar ID: sUGzQnUAAAAJ
HyperAccel
Computer ArchitectureAI/ML Accelerator
Citations & Impact
All-time
Citations
196
 
H-index
5
 
i10-index
3
 
Publications
10
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Developed a technology that is 10 times more cost and energy efficient than today's market solutions; Implemented highly optimized ASIC products for LLM inference using 4nm process technology.
Research Experience
  • Involved in the development of the world's first hardware accelerator dedicated to end-to-end LLM inference - the Latency Processing Unit (LPU); Researched how to improve the efficiency of multi-LPU systems through innovative ESL technology.
Background
  • Focused on the field of generative AI, particularly in accelerating large language models (LLMs).
Miscellany
  • Looking for talented and passionate individuals to join the team and contribute to the advancement of generative AI.
Co-authors
0 total
Co-authors: 0 (list not available)