high performance computing on graphics processing units: hgpu.org

Nicholas P. Bailey, Trond S. Ingebrigtsen, Jesper Schmidt Hansen, Arno A. Veldhorst, Lasse Bohling, Claire A. Lemarchand, Andreas E. Olsen, Andreas K. Bacher, Heine Larsen, Jeppe C. Dyre, Thomas B. Schroder

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 780 Ti, Package, Physics, Python

June 17, 2015 by hgpu

Type-safe Runtime Code Generation: Accelerate to LLVM

Trevor L. McDonell, Manuel M. T. Chakravarty, Vinod Grover, Ryan R. Newton

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, nVidia, Package, Sparse matrix, Tesla K40

June 14, 2015 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Scaling Monte Carlo Tree Search on Intel Xeon Phi

Concurrent Manipulation of Dynamic Data Structures in OpenCL

Optimization, Specification and Verification of the Prefix Sum Program in an OpenCL Environment

Towards Good Practices for Very Deep Two-Stream ConvNets

Autotuning OpenACC Work Distribution via Direct Search

High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

Best bang for your buck: GPU nodes for GROMACS biomolecular simulations

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores

AccFFT: A library for distributed-memory FFT on CPU and GPU architectures

Optimization and Parallelization Methods for the Design of Next-Generation Radio Networks

RUMD: A general purpose molecular dynamics package optimized to utilize GPU hardware down to a few thousand particles

Type-safe Runtime Code Generation: Accelerate to LLVM

Recent source codes

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench