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hgpu.org » Applications » Physics » Astrophysics

Accelerating incoherent dedispersion

Benjamin R. Barsdell, Matthew Bailes, David G. Barnes, Christopher J. Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

January 27, 2012 by hgpu

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Jani Sainio

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, High Energy Physics - Phenomenology, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 470, Package, Python, Tesla C2050

January 25, 2012 by hgpu

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Astrophysics, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, Physics, Tesla M2050

January 8, 2012 by hgpu

Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design

Brian D. Kaplinger, Bong Wie

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Tags: Algorithms, Astrophysics, Benchmarking, CUDA, nVidia, Tesla C2050

December 31, 2011 by hgpu

Faster Dark Matter Calculations Using the GPU

Sebastian Liem

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Tags: Astrophysics, CUDA, nVidia, nVidia GeForce GTX 260, Thesis

December 30, 2011 by hgpu

Accelerating NBODY6 with Graphics Processing Units

Keigo Nitadori, Sverre J. Aarseth

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Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 560 Ti, Package

December 29, 2011 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Multi-Science Applications with Single Codebase – GAMER – for Massively Parallel Architectures

Hemant Shukla, Hsi-Yu Schive, Tak-Pong Woo, Tzihong Chiueh

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Tags: Algorithms, Astrophysics, Benchmarking, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Physics, Rendering, Tesla C2050

December 10, 2011 by hgpu

Spotting Radio Transients with the help of GPUs

Benjamin R Barsdell, Matthew Bailes, David G Barnes, Christopher J Fluke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia

December 2, 2011 by hgpu

Unleashing the Power of Distributed CPU/GPU Architectures: Massive Astronomical Data Analysis and Visualization case study

Amr H. Hassan, C. J. Fluke, D. G. Barnes

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, nVidia, Tesla C1060, Tesla C2050, Visualization

November 30, 2011 by hgpu

A GPU-based survey for millisecond radio transients using ARTEMIS

W. Armour, A. Karastergiou, M. Giles, C. Williams, A. Magro, K. Zagkouris, S. Roberts, S. Salvini, F. Dulwich, B. Mort

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Tags: Algorithms, Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, Overview, Tesla M2050

November 29, 2011 by hgpu

Automatic generation of heterogeneous spectrometers for radio astronomy

Terry Filiba, Dan Werthimer

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Tags: Algorithms, Astrophysics, CUDA, FPGA, Heterogeneous systems

November 24, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating incoherent dedispersion

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design

Faster Dark Matter Calculations Using the GPU

Accelerating NBODY6 with Graphics Processing Units

Implementation of a Parallel Tree Method on a GPU

Multi-Science Applications with Single Codebase – GAMER – for Massively Parallel Architectures

Spotting Radio Transients with the help of GPUs

Unleashing the Power of Distributed CPU/GPU Architectures: Massive Astronomical Data Analysis and Visualization case study

A GPU-based survey for millisecond radio transients using ARTEMIS

Automatic generation of heterogeneous spectrometers for radio astronomy

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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