125 citations · 188 across the 19 of their papers we have counts for
3 papers · 1 filter
SDQ: Sparse Decomposed Quantization for LLM Inference
Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler +1
Recently, large language models (LLMs) have shown surprising performance in task-specific workloads as well as general tasks with the given prompts. However, to achieve unprecedent…
Probabilistic Tracker Management Policies for Low-Cost and Scalable Rowhammer Mitigation
Aamer Jaleel, Stephen W. Keckler, Gururaj Saileshwar
This paper focuses on mitigating DRAM Rowhammer attacks. In recent years, solutions like TRR have been deployed in DDR4 DRAM to track aggressor rows and then issue a mitigative act…
Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators
Geonhwa Jeong, Po-An Tsai, Abhimanyu R. Bambhaniya +2
Exploiting sparsity in deep neural networks (DNNs) has been a promising area for meeting the growing computation requirements. To minimize the overhead of sparse acceleration, hard…