1 citations · 2 across the 5 of their papers we have counts for
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Technology solutions targeting the performance of gen-AI inference in resource constrained platforms
Joyjit Kundu, Joshua Klein, Aakash Patel +1
The rise of generative AI workloads, particularly language model inference, is intensifying on/off-chip memory pressure. Multimodal inputs such as video streams or images and downs…
System-performance and cost modeling of Large Language Model training and inference
Wenzhe Guo, Joyjit Kundu, Uras Tos +4
Large language models (LLMs), based on transformer architectures, have revolutionized numerous domains within artificial intelligence, science, and engineering due to their excepti…
A System Level Performance Evaluation for Superconducting Digital Systems
Joyjit Kundu, Debjyoti Bhattacharjee, Nathan Josephsen +8
Superconducting Digital (SCD) technology offers significant potential for enhancing the performance of next generation large scale compute workloads. By leveraging advanced lithogr…
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference
Joyjit Kundu, Wenzhe Guo, Ali BanaGozar +4
Aligning future system design with the ever-increasing compute needs of large language models (LLMs) is undoubtedly an important problem in today's world. Here, we propose a genera…