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Fast 4pi track reconstruction in nuclear emulsion detectors based on GPU technology

A. Ariga, T. Ariga

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Tags: CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, nVidia, nVidia GeForce GTX Titan, Physics

November 23, 2013 by hgpu

Experience with Intel’s Many Integrated Core architecture in ATLAS software

S. Fleischmann, S. Kama, W. Lavrijsen, M. Neumann, R. Vitillo

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Tags: Computer science, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, MPI, Physics, Task scheduling

November 21, 2013 by hgpu

Explorations of the Viability of ARM and Xeon Phi for Physics Processing

David Abdurachmanov, Kapil Arya, Josh Bendavid, Tommaso Boccali, Gene Cooperman, Andrea Dotti, Peter Elmer, Giulio Eulisse, Francesco Giacomini, Christopher D. Jones, Matteo Manzali, Shahzad Muzaffar

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Tags: ARM, Computational Physics, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, Performance, Physics

November 11, 2013 by hgpu

Many-core applications to online track reconstruction in HEP experiments

S. Amerio, D. Bastieri, M. Corvo, A. Gianelle, W. Ketchum, T. Liu, A. Lonardo, D. Lucchesi, S. Poprocki, R. Rivera, L. Tosoratto, P. Vicini, P. Wittich

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Tags: CUDA, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Physics, Tesla K20, Tesla M2050

November 6, 2013 by hgpu

Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC

Kapil Arya, Gene Cooperman, Andrea Dotti, Peter Elmer

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Tags: Computational Physics, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, Numerical Analysis, Physics

November 4, 2013 by hgpu

Initial Explorations of ARM Processors for Scientific Computing

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Shahzad Muzaffar

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Tags: ARM, Computational Physics, Energy-efficient computing, High Energy Physics - Experiment, Numerical Analysis, Physics

November 4, 2013 by hgpu

First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC

V. Halyo, P. LeGresley, P. Lujan, V. Karpusenko, A. Vladimirov

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, nVidia, Physics, Tesla K20

October 29, 2013 by hgpu

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Juan Carlos Diaz Velez

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Python, Tesla C1060, Tesla C2050, Tesla M2070, Thesis

October 24, 2013 by hgpu

Parallel Computing Methods For Particle Accelerator Design

Diana Andreea Popescu

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, nVidia Quadro K 2000, OpenMP, Package, Physics, Tesla K20, Thesis

September 17, 2013 by hgpu

Betatron tune measurement with the LHC damper using a GPU

Frederic Dubouchet

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Tags: CUDA, FFT, Hadronic Colliders, High Energy Physics - Experiment, nVidia, Physics, Thesis

June 29, 2013 by hgpu

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Y. Roblin, V. Morozov, B. Terzic, M. Aturban, D. Ranjan, M. Zubair

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla M2090

June 21, 2013 by hgpu

Beam Dynamics Simulations with a GPU-accelerated Version of ELEGANT

K. Amyx, J. Balasalle, J. King, I.V. Pogorelov, M. Borland, R. Soliday

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla C2070

June 21, 2013 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 plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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

Parallel Gaussian process with kernel approximation in CUDA

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