General Relativity and Quantum Cosmology

hgpu.org » General Relativity and Quantum Cosmology

Automatic generation of CUDA code performing tensor manipulations using C++ expression templates

Adam G.M. Lewis, Harald P. Pfeiffer

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Tags: Benchmarking, Code generation, Computer science, CUDA, General Relativity and Quantum Cosmology, nVidia, Tesla K80, Tesla M2090, Tesla P100

April 28, 2018 by hgpu

MALBEC: a new CUDA-C ray-tracer in General Relativity

G. D. Quiroga

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Tags: CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 960 M, Package, Physics

March 25, 2018 by hgpu

Scalar collapse in AdS with an OpenCL open source code

Steven L. Liebling, Gaurav Khanna

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Tags: AMD Radeon R9 295X2, ATI, General Relativity and Quantum Cosmology, Heterogeneous systems, High Energy Physics - Theory, nVidia, OpenCL, Package, Physics, Tesla K40

June 25, 2017 by hgpu

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

Justin McKennon, Gary Forrester, Gaurav Khanna

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Tags: ATI, ATI Radeon HD 7970, Differential equations, General Relativity and Quantum Cosmology, Gravitation, Gravitational waves, nVidia, OpenCL, Partial differential equations, PDEs, Physics, Tesla C2050

June 4, 2012 by hgpu

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Bernd Bruegmann

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Tags: Computational Physics, CUBLAS, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla M2070

April 19, 2011 by hgpu

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz, Manuel Tiglio, Gustavo Guerberoff

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Tags: CUDA, General Relativity and Quantum Cosmology, GPU cluster, nVidia, Physics

March 6, 2011 by hgpu

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Burkhard Zink

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 28, 2011 by hgpu

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Jens Breitbart, Gaurav Khanna

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 280, Package, Physics

January 18, 2011 by hgpu

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

Shin Kee Chung, Linqing Wen, David Blair, Kipp Cannon, Amitava Datta

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Tags: CUDA, FFT, General Relativity and Quantum Cosmology, Gravitation, nVidia, nVidia GeForce 8800 Ultra, Physics

November 13, 2010 by hgpu

An Exploration of OpenCL for a Numerical Relativity Application

Niket K. Choudhary, Rakesh Ginjupalli, Sandeep Navada, Gaurav Khanna

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Computational Physics, General Relativity and Quantum Cosmology, nVidia, OpenCL, OpenMP, Tesla C2050

November 9, 2010 by hgpu

Numerical modeling of gravitational wave sources accelerated by OpenCL

Gaurav Khanna, Justin McKennon

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Tags: Cell processor, Computational Physics, General Relativity and Quantum Cosmology, Gravitation, nVidia, OpenCL, Physics, Tesla C1060

November 9, 2010 by hgpu

An exploration of CUDA and CBEA for a gravitational wave source-modelling application

Gaurav Khanna, Justin McKennon

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Tags: Cell processor, CUDA, General Relativity and Quantum Cosmology, Gravitation, nVidia, Physics, Tesla C1060

November 9, 2010 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

Automatic generation of CUDA code performing tensor manipulations using C++ expression templates

MALBEC: a new CUDA-C ray-tracer in General Relativity

Scalar collapse in AdS with an OpenCL open source code

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Statistical constraints on binary black hole inspiral dynamics

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

An Exploration of OpenCL for a Numerical Relativity Application

Numerical modeling of gravitational wave sources accelerated by OpenCL

An exploration of CUDA and CBEA for a gravitational wave source-modelling application

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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