high performance computing on graphics processing units: hgpu.org

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Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform

Biao Hu, Uzair Sharif, Rajat Koner, Guang Chen, Kai Huang, Feihu Zhang, Walter Stechele, Alois Knoll

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Tags: AMD FirePro W9100, ATI, Bayesian, Benchmarking, Computer science, Filtering, Heterogeneous systems, OpenCL, Package

April 17, 2017 by hgpu

Investigation of heterogeneous computing through novel parallel programming platforms

Andrei-Alexandru Dafinoiu

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Tags: ARM, ATI, ATI Radeon HD 6450, ATI Radeon HD 6570, Computer science, FPGA, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 750 Ti, OpenCL, SoC, Thesis

April 17, 2017 by hgpu

Machine Learning from Streaming Data in Heterogeneous Computing Environments

Yusuf Guven Toprakkiran

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Tags: Algorithms, AMD Radeon R9 Fury, ATI, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 980, OpenCL, Thesis

April 11, 2017 by hgpu

Load Balancing for Constraint Solving with GPUs

Pedro Roque, Vasco Pedro, Salvador Abreu

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Tags: ATI, ATI Radeon HD 7990, Computer science, Heterogeneous systems, Intel Xeon Phi, load balancing, nVidia, nVidia GeForce GTX 980 M, OpenCL, Tesla K20

April 7, 2017 by hgpu

Merge or Separate? Multi-job Scheduling for OpenCL Kernels on CPU/GPU Platforms

Yuan Wen, Michael F.P. O'Boyle

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Tags: AMD Radeon HD 7970, ATI, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 780, OpenCL

April 3, 2017 by hgpu

FPGA-based Tsunami Simulation: Performance Comparison with GPUs, and Roofline Model for Scalability Analysis

Kohei Nagasu, Kentaro Sano, Fumiya Kono, Naohito Nakasato

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Tags: AMD Radeon R9 280X, ATI, Earth and Space Sciences, FPGA, nVidia, OpenCL, Performance, Tesla K20

April 3, 2017 by hgpu

LookNN: Neural Network with No Multiplication

Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Deep learning, Machine learning, Neural networks, OpenCL

March 28, 2017 by hgpu

Parallelized Vlasov-Fokker-Planck solver for desktop personal computers

Patrik Schonfeldt, Miriam Brosi, Markus Schwarz, Johannes L. Steinmann, Anke-Susanne Muller

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Tags: AMD Radeon R9 290, ATI, OpenCL, Package, Physics

March 28, 2017 by hgpu

APUNet: Revitalizing GPU as Packet Processing Accelerator

Younghwan Go, Muhammad Jamshed, YoungGyoun Moon, Changho Hwang, KyoungSoo Park

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Tags: Algorithms, AMD, APU, ATI, Computer science, nVidia, nVidia GeForce GTX 980, OpenCL, Performance

March 28, 2017 by hgpu

Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers

E. Calore, A. Gabbana, S. F. Schifano, R. Tripiccione

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Tags: AMD FirePro W9100, ATI, Fluid dynamics, GPU cluster, Heterogeneous systems, Intel Xeon Phi, Lattice Boltzmann model, MPI, nVidia, OpenACC, OpenMP, Performance, performance portability, Tesla K80

March 20, 2017 by hgpu

Compiling Parallel Functional Code with Data Parallel Idealised Algol

Robert Atkey, Michel Steuwer, Sam Lindley, Christophe Dubach

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, nVidia, nVidia GeForce GTX Titan X, OpenCL, performance portability

March 14, 2017 by hgpu

Performance and Portability of Accelerated Lattice Boltzmann Applications with OpenACC

E. Calore, A. Gabbana, J. Kraus, S. F. Schifano, R. Tripiccione

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Tags: AMD FirePro S9150, ATI, Benchmarking, CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, OpenACC, OpenCL, Performance, Tesla K80

March 5, 2017 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

Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform

Investigation of heterogeneous computing through novel parallel programming platforms

Machine Learning from Streaming Data in Heterogeneous Computing Environments

Load Balancing for Constraint Solving with GPUs

Merge or Separate? Multi-job Scheduling for OpenCL Kernels on CPU/GPU Platforms

FPGA-based Tsunami Simulation: Performance Comparison with GPUs, and Roofline Model for Scalability Analysis

LookNN: Neural Network with No Multiplication

Parallelized Vlasov-Fokker-Planck solver for desktop personal computers

APUNet: Revitalizing GPU as Packet Processing Accelerator

Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers

Compiling Parallel Functional Code with Data Parallel Idealised Algol

Performance and Portability of Accelerated Lattice Boltzmann Applications with OpenACC

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

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

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

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

EnergyUCB-Bandit

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