64 citations · 184 across the 14 of their papers we have counts for
5 papers · 1 filter
VortexSynth: Profile-guided benchmark reconstruction for GPU architecture research
Huanzhi Pu, Chulhyung Park, Chihyo Ahn +2
GPU architecture research requires representative benchmarks that can execute on new designs. However, many vendor-tailored workloads and library kernels cannot run directly on res…
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…
CODA: Enabling Co-location of Computation and Data for Near-Data Processing
Hyojong Kim, Ramyad Hadidi, Lifeng Nai +5
Recent studies have demonstrated that near-data processing (NDP) is an effective technique for improving performance and energy efficiency of data-intensive workloads. However, lev…
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…