high performance computing on graphics processing units: hgpu.org

Tommaso Biagini, Giovanni Chillemi, Gianluigi Mazzoccoli, Alessandro Grottesi, Caterina Fusilli, Daniele Capocefalo, Stefano Castellana, Angelo Luigi Vescovi, Tommaso Mazza

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Tags: Benchmarking, Bioinformatics, Biology, Chemistry, CUDA, Genomics, Molecular dynamics, nVidia, OpenCL, Physics, Tesla C2070

December 19, 2017 by hgpu

Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

Melisa Carranza Zuniga

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Tags: Algorithms, Biology, Biomolecules, Biophysics, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Physics, Thesis

August 26, 2017 by hgpu

cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs

KTT - Kernel Tuning Toolkit

Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures

HSA-on-FPGA

Transparent FPGA Acceleration with TensorFlow

SYCL for Vitis 2020.1: experimental melting pot with Intel oneAPI DPC++ SYCL and triSYCL for Xilinx FPGA

triSYCL for Xilinx FPGA

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

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* * *

2021

April

27-29

Munich, Germany

9th International Workshop on OpenCL and SYCL, 2021

2020

December

10-14

Virtually in Barcelona, Spain

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

2020

November

24-27

Naha, Okinawa, Japan

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2021

January

13-15

Shenzhen, China

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

2020

December

14-16

Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating AutoDock4 with GPUs and Gradient-Based Local Search

Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS

Evaluating the Energy Efficiency of OpenCL-accelerated AutoDock Molecular Docking

JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications

Code Optimization on GPUs

Using Compiler Directives for Performance Portability in Scientific Computing: Kernels from Molecular Simulation

A Case Study in Using OpenCL on FPGAs: Creating an Open-Source Accelerator of the AutoDock Molecular Docking Software

Chebyshev Filter Diagonalization on Modern Manycore Processors and GPGPUs

GAMER-2: a GPU-accelerated adaptive mesh refinement code — accuracy, performance, and scalability

Molecular dynamics recipes for genome research

Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

BASEMENT - Basic Simulation Environment

Charm++: a message-passing parallel language and runtime system

KTT - Kernel Tuning Toolkit

UPC++: a PGAS library for C++

cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs

KTT - Kernel Tuning Toolkit

HSA-on-FPGA

SYCL for Vitis 2020.1: experimental melting pot with Intel oneAPI DPC++ SYCL and triSYCL for Xilinx FPGA

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Most viewed papers (last 30 days)

Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020