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04/25/2023
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures
During the past decade, Deep Learning (DL) algorithms, programming syste...
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04/16/2021
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms
We push the boundaries of electronic structure-based ab-initio molecular...
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04/12/2021
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads
During the past decade, novel Deep Learning (DL) algorithms/workloads an...
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03/18/2021
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
Deep learning is finding its way into high energy physics by replacing t...
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06/15/2019
High-Performance Deep Learning via a Single Building Block
Deep learning (DL) is one of the most prominent branches of machine lear...
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08/16/2018
Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures
Convolution layers are prevalent in many classes of deep neural networks...
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07/08/2018