high performance computing on graphics processing units: hgpu.org

Moritz Kreutzer, Jonas Thies, Melven Rohrig-Zollner, Andreas Pieper, Faisal Shahzad, Martin Galgon, Achim Basermann, Holger Fehske, Georg Hager, Gerhard Wellein

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, MPI, nVidia, OpenMP, Package, Sparse matrix, Tesla K20

July 30, 2015 by hgpu

Sound Synthesis Using Physical Modeling on Heterogeneous Computing Platforms

M. Pluta, B. Borkowski, I. Czajka, K. Suder-Debska

View

Download (PDF)

Tags: Acoustics, Algorithms, Computer science, Finite difference, Heterogeneous systems, nVidia, nVidia GeForce GT 750 M, OpenCL

July 29, 2015 by hgpu

Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature

Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara

View

Download (PDF)

Tags: Computer science, CUDA, Deep learning, Neural networks, nVidia, Speech recognition

July 29, 2015 by hgpu

OKL: A Unified Language for Parallel Architectures

David Medina

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7990, Computer science, CUDA, High-level Languages, nVidia, OpenCL, Tesla K40, Thesis

July 29, 2015 by hgpu

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Luna Backes, Alejandro Rico, Bjorn Franke

View

Download (PDF)

Tags: ARM, Computer science, Computer vision, Embedded high-performance computing, OpenCL

July 28, 2015 by hgpu

Optimization of a finite element code implemented in MATLAB: On the use of GPUs for High Performance Computing

D. Jose Manuel Navarro Jimenez

View

Download (PDF)

Tags: Computer science, Finite element method, Matlab, OpenCL, Thesis

July 28, 2015 by hgpu

Processing Large-scale XML Files on GPGPU Cluster

Ping Liu

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, nVidia, OpenMPI, Performance, Tesla M2075

July 27, 2015 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Optimized Event-Driven Runtime Systems for Programmability and Performance

Multi-GPU Parallel Computing and Task Scheduling under Virtualization

Parallel Surface Reconstruction on GPU

A University-Industry Collaboration Case Study: Intel Real-Time Multi-View Face Detection Capstone Design Projects

Investigating SRAM PUFs in large CPUs and GPUs

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

Sound Synthesis Using Physical Modeling on Heterogeneous Computing Platforms

Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature

OKL: A Unified Language for Parallel Architectures

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Optimization of a finite element code implemented in MATLAB: On the use of GPUs for High Performance Computing

Processing Large-scale XML Files on GPGPU Cluster

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

Most viewed papers (last 30 days)