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07/28/2023
Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold
Being able to efficiently obtain an accurate estimate of the failure pro...
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07/17/2023
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
Voxel-based methods have achieved state-of-the-art performance for 3D ob...
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05/31/2023
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training
Running out of GPU memory has become a main bottleneck for large-scale D...
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12/05/2022
High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction
Despite the fast advances in high-sigma yield analysis with the help of ...
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09/07/2022
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU
Sparse compiler is a promising solution for sparse tensor algebra optimi...
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08/18/2022
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph
Graph convolutional network (GCN), an emerging algorithm for graph compu...
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06/30/2021
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction
Sparse matrix-vector and matrix-matrix multiplication (SpMV and SpMM) ar...
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03/01/2021
CogDL: An Extensive Toolkit for Deep Learning on Graphs
Graph representation learning aims to learn low-dimensional node embeddi...
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07/07/2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
Graph Neural Networks (GNNs) have achieved significant improvements in v...
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03/26/2020