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Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM

Jose Carlos Romero, Angeles Navarro, Antonio Vilches, Andrés Rodríguez, Francisco Corbera, Rafael Asenjo

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Tags: Algorithms, Analytical model, Computer science, FPGA, Heterogeneous systems, OpenCL

June 27, 2021 by hgpu

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang

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Tags: Analytical model, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Machine learning, nVidia, nVidia GeForce GTX 1080 Ti, OpenCL, OpenMP, Package

March 22, 2020 by hgpu

On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU

Ulysse Beaugnon, Basile Clément, Nicolas Tollenaere, Albert Cohen

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Tags: Analytical model, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro K4000, Programming Languages

April 14, 2019 by hgpu

Sparse Winograd Convolutional neural networks on small-scale systolic arrays

Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu

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Tags: Analytical model, Computer science, Deep learning, FPGA, Neural networks

October 13, 2018 by hgpu

A Comparison of GPU Execution Time Prediction using Machine Learning and Analytical Modeling

Marcos Amaris, Raphael Y. de Camargo, Mohamed Dyab, Alfredo Goldman, Denis Trystram

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Tags: Analytical model, Benchmarking, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX 970, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, nVidia GeForce GTX Titan Black, nVidia GeForce GTX Titan X, nVidia Quadro K5200, Package, Performance, Tesla K20, Tesla K40

December 6, 2016 by hgpu

Bridging the Semantic Gaps of GPU Acceleration for Scaleout CNN-based Big Data Processing: Think Big, See Small

Mingcong Song, Yang Hu, Yunlong Xu, Chao Li, Huixiang Chen, Jingling Yuan, Tao Li

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Tags: Analytical model, big data, Computer science, CUDA, Deep learning, Distributed computing, Neural networks, nVidia, Tesla K20

September 22, 2016 by hgpu

MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

Tobias Gysi, Tobias Grosser, Torsten Hoefler

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Tags: Analytical model, CUDA, nVidia, Optimization, Package, Stencil computation, Tesla K20

June 3, 2016 by gysit

GPL: A GPU-based Pipelined Query Processing Engine

Johns Paul, Jiong He, Bingsheng He

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Tags: Analytical model, Computer science, Databases, nVidia, OpenCL

April 24, 2016 by hgpu

Efficient Simulation Techniques for Large-Scale Applications

Jen-Cheng Huang

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Tags: Analytical model, Computer science, CUDA, nVidia, nVidia Quadro 6000, Performance, Thesis

September 26, 2015 by hgpu

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Junjie Lai

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Tags: Analytical model, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Thesis

August 28, 2013 by hgpu

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Go Ogiya, Masao Mori, Yohei Miki, Taisuke Boku, Naohito Nakasato

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Tags: Analytical model, Astrophysics, Cosmology, CUDA, GPU cluster, Gravitation, N-body simulation, nVidia, Physics, Tesla M2090

August 17, 2013 by hgpu

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Yuan Yuan, Rubao Lee, Xiaodong Zhang

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Tags: Analytical model, ATI, ATI Radeon HD 7970, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package

August 14, 2013 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU

Sparse Winograd Convolutional neural networks on small-scale systolic arrays

A Comparison of GPU Execution Time Prediction using Machine Learning and Analytical Modeling

Bridging the Semantic Gaps of GPU Acceleration for Scaleout CNN-based Big Data Processing: Think Big, See Small

MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

GPL: A GPU-based Pipelined Query Processing Engine

Efficient Simulation Techniques for Large-Scale Applications

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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