Compute-in-SRAM device workloads; resilient memory design; KAN acceleration; long-context agentic LLM inference; HW design divergence for HPC workloads; analog in-memory computing, LLMs; undervolting-based static side-channel attacks; RISC-V.
New technical papers recently added to Semiconductor Engineering’s library:
| Technical Paper | Research Organizations |
|---|---|
| Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference | University of Cambridge, Imperial College London, University of Edinburgh |
| Automatically Retargeting Hardware and Code Generation for RISC-V Custom Instructions | Tampere University |
| Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads | Lawrence Berkeley National Lab (LBNL), Foundation for Research and Technology – Hellas, University of Houston Clear Lake |
| Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device | Cornell University, USC, MIT, GSI Technology Inc. |
| SCREME: A Scalable Framework for Resilient Memory Design | University of Central Florida, University of Texas at San Antonio, University of Rochester |
| Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems | Georgia Institute of Technology, National Tsing Hua University, TSMC |
| Analog in-memory computing attention mechanism for fast and energy-efficient large language models | Forschungszentrum Jülich, RWTH Aachen |
| Chypnosis: Stealthy Secret Extraction using Undervolting-based Static Side-channel Attacks | Worcester Polytechnic Institute, Ruhr University Bochum |
Find more semiconductor research papers here.
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