high performance computing on graphics processing units: hgpu.org

hgpu.org » Intel Xeon Phi

Particle-in-Cell Laser-Plasma Simulation on Xeon Phi Coprocessors

I.A. Surmin, S.I. Bastrakov, E.S. Efimenko, A.A. Gonoskov, A.V. Korzhimanov, I.B. Meyerov

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Tags: Benchmarking, Computational Physics, Intel Xeon Phi, Particle-in-cell methods, Physics, Plasma physics

May 28, 2015 by hgpu

Towards Modeling Energy Consumption of Xeon Phi

Gary Lawson, Masha Sosonkina, Yuzhong Shen

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Tags: Computer science, Energy-efficient computing, Intel Xeon Phi, Molecular dynamics

May 28, 2015 by hgpu

A Performance and Scalability Analysis of the Tsunami Simulation EasyWave for Different Multi-Core Architectures and Programming Models

Steffen Christgau, Johannes Spazier, Bettina Schnor

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Tags: CUDA, Earth and Space Sciences, Geoscience, Intel Xeon Phi, MPI, nVidia, OpenMP, Package, Performance, Tesla K40

May 20, 2015 by hgpu

Kalman Filter Tracking on Parallel Architectures

Giuseppe Cerati, Peter Elmer, Steven Lantz, Kevin McDermott, Dan Riley, Matevz Tadel, Peter Wittich, Frank Wurthwein, Avi Yagil

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Tags: Instrumentation and Detectors, Intel Xeon Phi, OpenMP, Physics

May 20, 2015 by hgpu

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Gordon Inggs, David B. Thomas, Wayne Luk

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Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia Grid K2, nVidia Quadro K4000, OpenCL, Option pricing, Performance

May 20, 2015 by hgpu

Optimizing Full Correlation Matrix Analysis of fMRI Data on Intel Xeon Phi Coprocessors

Yida Wang, Michael Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Ted Willke

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Tags: Algorithms, Computer science, Intel Xeon Phi, Magnetic resonance imaging, MRI, Performance

May 19, 2015 by hgpu

An Interrupt-Driven Work-Sharing For-Loop Scheduler

Georgios Rokos, Gerard J. Gorman, Paul H. J. Kelly

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Tags: Computer science, Intel Xeon Phi, OpenMP, Package

May 19, 2015 by hgpu

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Ayman Tarakji, David Hebbeker, Lyubomir Georgiev

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Tags: AMD FirePro S10000, AMD FirePro S7000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla C2050

May 16, 2015 by hgpu

Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs

George Teodoro, Tahsin Kurc, Guilherme Andrade, Jun Kong, Renato Ferreira, Joel Saltz

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Tags: Computer science, CUDA, Intel Xeon Phi, nVidia, Performance, Tesla K20

May 16, 2015 by hgpu

Coherent Photon Mapping on the Intel MIC Architecture

Chun-Meng Kang, Lu Wang, Pei Wang, Yan-Ning Xu, Xiang-Xu Meng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Intel Xeon Phi

May 5, 2015 by hgpu

Implementation and performance analysis of the AXPY, DOT, and SpMV functions on Intel Xeon Phi and NVIDIA Tesla using OpenCL

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

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Tags: Computer science, Intel Xeon Phi, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S2050

April 27, 2015 by hgpu

Finite element numerical integration for first order approximations on multi-core architectures

Krzysztof Banas, Filip Kruzel, Jan Bielanski

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Tags: Algorithms, Computer science, Intel Xeon Phi, Mathematical Software, nVidia, OpenCL, Tesla K20

April 8, 2015 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

Particle-in-Cell Laser-Plasma Simulation on Xeon Phi Coprocessors

Towards Modeling Energy Consumption of Xeon Phi

A Performance and Scalability Analysis of the Tsunami Simulation EasyWave for Different Multi-Core Architectures and Programming Models

Kalman Filter Tracking on Parallel Architectures

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Optimizing Full Correlation Matrix Analysis of fMRI Data on Intel Xeon Phi Coprocessors

An Interrupt-Driven Work-Sharing For-Loop Scheduler

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs

Coherent Photon Mapping on the Intel MIC Architecture

Implementation and performance analysis of the AXPY, DOT, and SpMV functions on Intel Xeon Phi and NVIDIA Tesla using OpenCL

Finite element numerical integration for first order approximations on multi-core architectures

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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