high performance computing on graphics processing units: hgpu.org

Wael Elwasif, Sergei Bastrakov, Spencer H. Bryngelson, Michael Bussmann, Sunita Chandrasekaran, Florina Ciorba, M. A. Clark, Alexander Debus, William Godoy, Nick Hagerty, Jeff Hammond, David Hardy, J. Austin Harris, Oscar Hernandez, Balint Joo, Sebastian Keller, Paul Kent, Henry Le Berre, Damien Lebrun-Grandie, Elijah MacCarthy, Verónica G. Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Jean-Guillaume Piccinali, Anand Radhakrishnan, Osman Simsek, Filippo Spiga, Klaus Steiniger, Jan Stephan, John E. Stone, Christian Trott, René Widera, Jeffrey Young

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Tags: ARM, Benchmarking, cfd, Computer science, CUDA, Fluid dynamics, Fortran, HPC, MPI, nVidia, nVidia A100, OpenACC, Package

October 2, 2022 by hgpu

Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism

Shilei Tian, Joseph Huber, Konstantinos Parasyris, Barbara Chapman, Johannes Doefert

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Tags: Computer science, CUDA, LLVM, nVidia, nVidia A100, OpenMP, Portability

September 11, 2022 by hgpu

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models

Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You

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Tags: Computer science, CUDA, Deep learning, Heterogeneous systems, NLP, nVidia, nVidia A100, Package

September 11, 2022 by hgpu

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high performance computing on graphics processing units: hgpu.org

Capturing the Memory Topology of GPUs

Enabling Data Movement and Computation Pipelining in Deep Learning Compiler

Apple Silicon Performance in Scientific Computing

Benchmarking GPU and TPU Performance with Graph Neural Networks

Providing performance portable numerics for Intel GPUs

From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels

Benchmarking optimization algorithms for auto-tuning GPU kernels

Efficient Quantized Sparse Matrix Operations on Tensor Cores

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform

Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models

Recent source codes

KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs

HETU: a high-performance distributed deep learning system targeting large-scale and automated distributed training

SYCL-DNN: a library implementing neural network algorithms written using SYCL

SW#SYCL

Flink-TornadoVM-Artifact

StateMover: a checkpoint-based debugging framework for FPGAs

Kernel Tuner

TorchOpt: an efficient library for differentiable optimization built upon PyTorch

NaturalCC: An Open-Source Toolkit for Code Intelligence

mt4g: Memory Topology for GPUs

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