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09/15/2022
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems
Sparse linear algebra kernels play a critical role in numerous applicati...
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09/14/2022
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms
The increasing size of input graphs for graph neural networks (GNNs) hig...
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03/30/2022
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems
The deep learning revolution has been enabled in large part by GPUs, and...
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01/21/2022
Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU
In a general graph data structure like an adjacency matrix, when edges a...
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09/17/2021
Denial-of-Service Attack Detection via Differential Analysis of Generalized Entropy Progressions
Denial-of-Service (DoS) attacks are one the most common and consequentia...
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12/13/2020
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures
Designing efficient and scalable sparse linear algebra kernels on modern...
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11/19/2020
Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems
Graphics Processing Units (GPUs) are a ubiquitous component across the r...
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11/10/2020
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing
The next generation HPC and data centers are likely to be reconfigurable...
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01/02/2020
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs
Tensor computations present significant performance challenges that impa...
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03/11/2019
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
High performance multi-GPU computing becomes an inevitable trend due to ...
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02/08/2019
