high performance computing on graphics processing units: hgpu.org

J. Kocz, L.J Greenhill, B.R. Barsdell, D. Price, G. Bernardi, S. Bourke, M.A. Clark, J. Craig, M. Dexter, J. Dowell, T. Eftekhari, S. Ellingson, G. Hallinan, J. Hartman, A. Jameson, D. MacMahon, G. Taylor, F. Schinzel, D. Werthimer

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, FPGA, GPU cluster, Heterogeneous systems, Instrumentation and Methods for Astrophysics, nVidia, Package, Signal processing, Tesla K20

January 10, 2015 by hgpu

Simulating and Visualizing Real-Time Crowds on GPU Clusters

Benjamin Hernandez, Hugo Perez, Isaac Rudomin, Sergio Ruiz, Oriam DeGyves, Leonel Toledo

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX Titan, nVidia Jetson TK1, Rendering, Tesla M2090, Visualization

January 8, 2015 by hgpu

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

An Effective Model of CPU/GPU Collaborative Computing in GPU Clusters

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Shortest-Path Queries in Planar Graphs on GPU-Accelerated Architectures

Energy-efficient Computing on Distributed GPUs using Dynamic Parallelism and GPU-controlled Communication

High-Performance Computation of a Jet in Cross Flow by Lattice Boltzmann Based Parallel Direct Numerical Simulation

High Performance Computing of Meshless Time Domain Method on Multi-GPU Cluster

NMF-mGPU: non-negative matrix factorization on multi-GPU systems

Accelerating mahout on heterogeneous clusters using HadoopCL

Digital Signal Processing using Stream High Performance Computing: A 512-input Broadband Correlator for Radio Astronomy