high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » OpenCL

Energy Efficient Parallel K-Means Clustering for an Intel Hybrid Multi-Chip Package

Matheus Souza, Lucas Maciel, Pedro Henrique Penna, Henrique Freitas

View

Download (PDF)

Tags: Clustering, Computer science, Energy-efficient computing, FPGA, Intel Xeon Phi, Machine learning, OpenCL

March 10, 2019 by hgpu

On the Portability of GPU-Accelerated Applications via Automated Source-to-Source Translation

Paul Sathre, Mark Gardner, Wu-chun Feng

View

Download (PDF)

Source codes

Tags: AMD FirePro S9150, ATI, Computer science, CUDA, FPGA, Intel Xeon Phi, nVidia, OpenCL, Package, performance portability, Tesla K80

March 10, 2019 by hgpu

Cooperative CPU, GPU, and FPGA heterogeneous execution with EngineCL

Maria Angelica Davila Guzman, Raul Nozal, Ruben Gran Tejero, Maria Villarroya-Gaudo, Dario Suarez Gracia, Jose Luis Bosque

View

Download (PDF)

Source codes

Tags: Computer science, FPGA, Heterogeneous systems, load balancing, nVidia, nVidia GeForce GTX Titan X, OpenCL, Package

March 3, 2019 by hgpu

Application level energy measurements and models for hybrid platform with accelerators

Kenneth O'Brien

View

Download (PDF)

Tags: Computer science, Energy-efficient computing, Intel Xeon Phi, OpenCL, Tesla K40, Thesis

March 3, 2019 by hgpu

Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs

Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, nVidia, OpenCL, Optimization, Performance, Tesla P100

March 3, 2019 by hgpu

An Empirically Guided Optimization Framework for FPGA OpenCL

Ahmed Sanaullah, Rushi Patel, Martin C. Herbordt

View

Download (PDF)

Tags: Computer science, FPGA, OpenCL, Optimization

February 24, 2019 by hgpu

Worst-Case Execution Time Guarantees for Runtime-Reconfigurable Architectures

Marvin Damschen

View

Download (PDF)

Tags: Computer science, OpenCL, Performance, Thesis, Timing analysis

February 24, 2019 by hgpu

AXC: A new format to perform the SpMV oriented to Intel Xeon Phi architecture in OpenCL

E. Coronado-Barrientos, G. Indalecio, A. Garcia-Loureiro

View

Download (PDF)

Tags: Algorithms, Computer science, Intel Xeon Phi, OpenCL, Sparse matrix

February 10, 2019 by hgpu

Optimising Convolutional Neural Networks Inference on Low-Powered GPUs

Simon Rovder, Jose Cano, Michael O'Boyle

View

Download (PDF)

Tags: Computer science, Deep learning, Heterogeneous systems, Neural networks, OpenCL

February 10, 2019 by hgpu

Heterogeneous Distributed Big Data Clustering on Sparse Grids

David Pfander, Gregor Daiss, Dirk Pfluger

View

Download (PDF)

Source codes

Tags: Clustering, Computer science, Data mining, Distributed computing, Heterogeneous systems, Machine learning, MPI, nVidia, OpenCL, Package, performance portability, Tesla P100

February 10, 2019 by hgpu

Efficient Implementation and Optimization of Geometric Multigrid Operations in the LIFT Framework

Martin Lucke

View

Download (PDF)

Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 1080, OpenCL, Partial differential equations, PDEs, performance portability, Thesis

January 27, 2019 by hgpu

Direct N-body code on low-power embedded ARM GPUs

David Goz, Sara Bertocco, Luca Tornatore, Giuliano Taffoni

View

Download (PDF)

Tags: ARM, Astrophysics, FPGA, Heterogeneous systems, Instrumentation and Methods for Astrophysics, N-body simulation, OpenCL, OpenMPI, SoC

January 27, 2019 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Energy Efficient Parallel K-Means Clustering for an Intel Hybrid Multi-Chip Package

On the Portability of GPU-Accelerated Applications via Automated Source-to-Source Translation

Cooperative CPU, GPU, and FPGA heterogeneous execution with EngineCL

Application level energy measurements and models for hybrid platform with accelerators

Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs

An Empirically Guided Optimization Framework for FPGA OpenCL

Worst-Case Execution Time Guarantees for Runtime-Reconfigurable Architectures

AXC: A new format to perform the SpMV oriented to Intel Xeon Phi architecture in OpenCL

Optimising Convolutional Neural Networks Inference on Low-Powered GPUs

Heterogeneous Distributed Big Data Clustering on Sparse Grids

Efficient Implementation and Optimization of Geometric Multigrid Operations in the LIFT Framework

Direct N-body code on low-power embedded ARM GPUs

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

Most viewed papers (last 30 days)