64 citations · 105 across the 13 of their papers we have counts for
8 papers · 1 filter
Characterizing LLM Kernel Access and Memory Interaction in Multi-Partition NUMA GPUs
Donghyeon Joo, Sooraj Puthoor, Nuwan Jayasena +1
Large language model (LLM) workloads motivate multi-partition GPUs as a path to scaling compute and memory capacity, but their non-uniform memory access characteristics and inter-p…
Arcalís: Accelerating Remote Procedure Calls Using a Líghtweight Near-Cache Solution
Johnson Umeike, Pongstorn Maidee, Bahar Asgari
Modern microservices increasingly depend on high-performance remote procedure calls (RPCs) to coordinate fine-grained, distributed computation. As network bandwidths continue to sc…
Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations
Hana Chitsaz, Johnson Umeike, Amirmahdi Namjoo +2
Finite element simulations are essential in biomechanics, enabling detailed modeling of tissues and organs. However, architectural inefficiencies in current hardware and software s…
GUST: Graph Edge-Coloring Utilization for Accelerating Sparse Matrix Vector Multiplication
Armin Gerami, Bahar Asgari
Sparse matrix-vector multiplication (SpMV) plays a vital role in various scientific and engineering fields, from scientific computing to machine learning. Traditional general-purpo…
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
Bahar Asgari, Ramyad Hadidi, Joshua Dierberger +3
Sparse matrices are the key ingredients of several application domains, from scientific computation to machine learning. The primary challenge with sparse matrices has been efficie…
Memory Slices: A Modular Building Block for Scalable, Intelligent Memory Systems
Bahar Asgari, Saibal Mukhopadhyay, Sudhakar Yalamanchili
While reduction in feature size makes computation cheaper in terms of latency, area, and power consumption, performance of emerging data-intensive applications is determined by dat…
Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube
Ramyad Hadidi, Bahar Asgari, Jeffrey Young +4
Memories that exploit three-dimensional (3D)-stacking technology, which integrate memory and logic dies in a single stack, are becoming popular. These memories, such as Hybrid Memo…
Demystifying the Characteristics of 3D-Stacked Memories: A Case Study for Hybrid Memory Cube
Ramyad Hadidi, Bahar Asgari, Burhan Ahmad Mudassar +3
Three-dimensional (3D)-stacking technology, which enables the integration of DRAM and logic dies, offers high bandwidth and low energy consumption. This technology also empowers ne…