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hgpu.org » Intel Xeon Phi

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

Simon McIntosh-Smith, Michael Boulton, Dan Curran, James Price

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Tags: CloverLeaf, Fluid dynamics, GPU, Intel Xeon Phi, lattice Boltzmann, OpenCL, performance portability, ROTORSIM, structured grid

June 17, 2014 by simonmcs

A Portable OpenCL Lattice Boltzmann Code for Multi- and Many-core Processor Architectures

Enrico Calore, Sebastiano Fabio Schifano, Raffaele Tripiccione

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, Intel Xeon Phi, Lattice Boltzmann model, nVidia, OpenCL, Tesla K20

June 17, 2014 by hgpu

HAM – Heterogenous Active Messages for Efficient Offloading on the Intel Xeon Phi

Matthias Noack

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, MPI

June 17, 2014 by hgpu

Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels

Jianbin Fang, Henk Sips, Pekka Jaaskelainen, Ana Lucia Varbanescu

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Tags: ATI, ATI Radeon HD 7970, Intel Xeon Phi, Local memory, nVidia, OpenCL, Reverse Engineering, Tesla C2050, Tesla K20

June 16, 2014 by jfang

Evaluating CP2K on Exascale Hardware: Intel Xeon Phi

Fiona Reid, Iain Bethune

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Tags: Chemistry, Intel Xeon Phi, Molecular dynamics, MPI, OpenMP

June 15, 2014 by hgpu

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Azzam Haidar, Chongxiao Cao, Asim YarKhan, Piotr Luszczek, Stanimire Tomov, Khairul Kabir, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, nVidia, Tesla K20, Tesla M2090

June 14, 2014 by hgpu

Optimization of solver for gas flow modeling

D. Savichkin, O. Dodulad, Yu. Kloss

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Tags: Boltzmann equation, Fluid dynamics, Intel Xeon Phi

May 29, 2014 by hgpu

Simulating of query processing on multiprocessor database systems with modern coprocessors

Konstantin Y. Besedin, Pavel S. Kostenetskiy

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Tags: Computer science, CUDA, Databases, Intel Xeon Phi, nVidia, OpenMP, Tesla X2070

May 29, 2014 by hgpu

Developing a compiler for the XeonPhi

Paul Cockshott, Susanne Oehler, Tian Xu

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Tags: Compilers, Computer science, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, Performance

May 21, 2014 by hgpu

targetDP: an Abstraction of Lattice Based Parallelism with Portable Performance

Alan Gray, Kevin Stratford

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Tags: CUDA, Data parallelism, Fluid dynamics, Intel Xeon Phi, Lattice Boltzmann model, nVidia, Tesla K40

May 20, 2014 by hgpu

Fine-Grained Parallel Incomplete LU Factorization

Edmond Chow, Aftab Patel

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Tags: Algorithms, Computer science, Factorization, Intel Xeon Phi

May 17, 2014 by hgpu

Scaling Coupled Climate Models to Exascale: OpenACC-enabled ECEarth3 Earth System Model

P. Nolan, A. McKinstry

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Tags: CUDA, Earth and Space Sciences, Intel Xeon Phi, nVidia, OpenACC, Tesla M2090

May 16, 2014 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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high performance computing on graphics processing units: hgpu.org

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

A Portable OpenCL Lattice Boltzmann Code for Multi- and Many-core Processor Architectures

HAM – Heterogenous Active Messages for Efficient Offloading on the Intel Xeon Phi

Grover: Looking for Performance Improvement by Disabling Local Memory Usage in OpenCL Kernels

Evaluating CP2K on Exascale Hardware: Intel Xeon Phi

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Optimization of solver for gas flow modeling

Simulating of query processing on multiprocessor database systems with modern coprocessors

Developing a compiler for the XeonPhi

targetDP: an Abstraction of Lattice Based Parallelism with Portable Performance

Fine-Grained Parallel Incomplete LU Factorization

Scaling Coupled Climate Models to Exascale: OpenACC-enabled ECEarth3 Earth System Model

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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