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cuLGT: Lattice Gauge Fixing on GPUs

Hannes Vogt, Mario Schrock

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Package, Physics, Tesla K20

December 12, 2014 by hgpu

Strong scaling of general-purpose molecular dynamics simulations on GPUs

Jens Glaser, Trung Dac Nguyen, Joshua A. Anderson, Pak Lui, Filippo Spiga, Jaime A. Millan, David C. Morse, Sharon C. Glotzer

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Tags: Computational Physics, CUDA, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

December 12, 2014 by hgpu

Lattice QCD with Domain Decomposition on Intel Xeon Phi Co-Processors

Simon Heybrock, Balint Joo, Dhiraj D. Kalamkar, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Tilo Wettig, Pradeep Dubey

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Tags: Algorithms, Computational Physics, High Energy Physics - Lattice, Intel Xeon Phi, Performance, Physics, QCD

December 9, 2014 by hgpu

Parallel GPU Processing for Fast Radio Signal Propagation Computation in GRASS-RaPlaT

Igor Ozimek, Andrej Hrovat, Andrej Vilhar, Tomaz Javornik

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Tags: nVidia, nVidia GeForce GTX 580, OpenCL, Physics, Signal processing

December 7, 2014 by hgpu

Coulomb and Landau Gauge Fixing in GPUs using CUDA and MILC

Nuno Cardoso

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Tags: Computational Physics, High Energy Physics - Lattice, Physics

December 5, 2014 by hgpu

Software Polarization Spectrometer "PolariS"

Izumi Mizuno, Seiji Kameno, Amane Kano, Makoto Kuroo, Fumitaka Nakamura, Noriyuki Kawaguchi, Katsunori M. Shibata, Seisuke Kuji, Nario Kuno

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Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 640, Package

December 5, 2014 by hgpu

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

David Abdurachmanov, Brian Bockelman, Peter Elmer, Giulio Eulisse, Robert Knight, Shahzad Muzaffar

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Tags: ARM, Computational Physics, Computer science, Distributed computing, Heterogeneous systems, High Energy Physics - Experiment, Intel Xeon Phi, Physics

December 5, 2014 by hgpu

Numerical cosmology on the GPU with Enzo and Ramses

Claudio Gheller, Peng Wang, Franco Vazza, Romain Teyssier

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Tags: Astrophysics, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, nVidia, OpenACC, Tesla K20

December 3, 2014 by hgpu

24.77 Pflops on a Gravitational Tree-Code to Simulate the Milky Way Galaxy with 18600 GPUs

Jeroen Bedorf, Evghenii Gaburov, Michiko S. Fujii, Keigo Nitadori, Tomoaki Ishiyama, Simon Portegies Zwart

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Tags: Algorithms, Astrophysics, CUDA, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

December 3, 2014 by hgpu

Anisotropic interfacial tension, contact angles, and line tensions: A graphics-processing-unit-based Monte Carlo study of the Ising model

Benjamin J. Block, Suam Kim, Peter Virnau, Kurt Binder

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Tags: Computational Physics, CUDA, Ising model, nVidia, OpenCL, Physics

November 25, 2014 by hgpu

Ageing at the Spin-Glass/Ferromagnet Transition: Monte Carlo Simulation using GPUs

Markus Manssen, Alexander K. Hartmann

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Tags: Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 570, Physics, Statistical Mechanics

November 25, 2014 by hgpu

CL2QCD – Lattice QCD based on OpenCL

Owe Philipsen, Christopher Pinke, Alessandro Sciarra, Matthias Bach

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Tags: AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Physics, QCD, Tesla K40

November 20, 2014 by hgpu

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

ProGraML: Graph-based Deep Learning for Program Optimization and Analysis

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures

Learnergy: a Python library for energy-based machine learning models

Learnergy: Energy-based Machine Learners

Towards automated kernel selection in machine learning systems: A SYCL case study

Towards automated kernel selection in machine learning systems: A SYCL case study

CLFuzz

Automated test generation for OpenCL kernels using fuzzing and constraint solving

High-Performance Graph Primitives on GPUs

Fast Gunrock Subgraph Matching (GSM) on GPUs

Inline Vector Compression for Computational Physics

Inline Vector Compression for Computational Physics

AvA: Automatic virtualization of (general) accelerators

AvA: Accelerated Virtualization of Accelerators

GPGPU Verification of Radix Sort

Let’s sort this out: GPGPU Verification of Radix Sort

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2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

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