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10/29/2022
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler
Pipelining between data loading and computation is a critical tensor pro...
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06/16/2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
With the increasing popularity of robotics in industrial control and aut...
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02/28/2022
Dynamic N:M Fine-grained Structured Sparse Attention Mechanism
Transformers are becoming the mainstream solutions for various tasks lik...
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11/26/2021
QECV: Quantum Error Correction Verification
Quantum Error Correction (QEC) is essential for fault-tolerant quantum c...
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10/21/2021
Transformer Acceleration with Dynamic Sparse Attention
Transformers are the mainstream of NLP applications and are becoming inc...
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06/11/2020
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs
As the emerging trend of the graph-based deep learning, Graph Neural Net...
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11/28/2019
Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer
In this paper, we propose Poq, a runtime assertion scheme for debugging ...
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11/03/2019
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Spiking neural network is an important family of models to emulate the b...
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01/26/2019
