11 citations · 11 across the 3 of their papers we have counts for
3 papers
Sangam: Chiplet-Based DRAM-PIM Accelerator with CXL Integration for LLM Inferencing
Khyati Kiyawat, Zhenxing Fan, Yasas Seneviratne +5
Large Language Models (LLMs) are becoming increasingly data-intensive due to growing model sizes, and they are becoming memory-bound as the context length and, consequently, the ke…
Membrane: Accelerating Database Analytics with Bank-Level DRAM-PIM Filtering
Akhil Shekar, Kevin Gaffney, Martin Prammer +9
In-memory database query processing frequently involves substantial data transfers between the CPU and memory, leading to inefficiencies due to Von Neumann bottleneck. Processing-i…
Benchmarking Large Language Models for Automated Verilog RTL Code Generation
Shailja Thakur, Baleegh Ahmad, Zhenxing Fan +5
Automating hardware design could obviate a significant amount of human error from the engineering process and lead to fewer errors. Verilog is a popular hardware description langua…