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04/11/2023
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training
Collective communications are an indispensable part of distributed train...
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04/07/2023
Perspectives on AI Architectures and Co-design for Earth System Predictability
Recently, the U.S. Department of Energy (DOE), Office of Science, Biolog...
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03/20/2023
Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA
HPC applications are critical in various scientific domains ranging from...
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02/17/2023
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Deep Learning (DL) acceleration support in CPUs has recently gained a lo...
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11/30/2022
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training
Modern Deep Learning (DL) models have grown to sizes requiring massive c...
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11/16/2022
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Real-time multi-model multi-task (MMMT) workloads, a new form of deep le...
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08/16/2021
AIRCHITECT: Learning Custom Architecture Design and Mapping Space
Design space exploration is an important but costly step involved in the...
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07/13/2021
FLAT: An Optimized Dataflow for Mitigating Attention Performance Bottlenecks
Attention mechanisms form the backbone of state-of-the-art machine learn...
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06/30/2020
Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms
Deep Learning (DL) training platforms are built by interconnecting multi...
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09/13/2019
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices
Recent advances in deep neural networks (DNNs) have made DNNs the backbo...
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10/16/2018
SCALE-Sim: Systolic CNN Accelerator
Systolic Arrays are one of the most popular compute substrates within De...
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05/04/2018
