high performance computing on graphics processing units: hgpu.org

Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam

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Tags: Computer science, CUDA, Deep learning, Nonlinear optimization, nVidia, Package, Tesla V100

July 24, 2022 by hgpu

Optimizing the Performance of Parallel and Concurrent Applications Based on Asynchronous Many-Task Runtimes

Weile Wei

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Package, QMC, Tesla V100, Thesis

July 3, 2022 by hgpu

TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s

Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar

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Tags: Algorithms, Computer science, Nearest neighbour, nVidia, nVidia A100, Tesla V100, TPU

July 3, 2022 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems

Exploiting dynamic sparse matrices for performance portable linear algebra operations

Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU

Understanding the Power of Evolutionary Computation for GPU Code Optimization

Fully Concurrent GPU Data Structures

Long Code for Code Search

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters

Real-Time High-Performance Computing for Embedded Control Systems

Theseus: A Library for Differentiable Nonlinear Optimization

Optimizing the Performance of Parallel and Concurrent Applications Based on Asynchronous Many-Task Runtimes

TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s

Recent source codes

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Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

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SHMT: The Simultaneous and Heterogenous Multithreading project

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EnergyUCB-Bandit

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