high performance computing on graphics processing units: hgpu.org

hgpu.org » Memory

STT-RAM for Shared Memory in GPUs

Prateeksha Satyamoorthy

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 285, OpenCL, Thesis

October 23, 2011 by hgpu

Hardware Transactional Memory for GPU Architectures

Wilson W. L. Fung, Inderpreet Singh, Andrew Brownsword, Tor M. Aamodt

View

Download (PDF)

Tags: Bloom filter, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, Programming techniques

October 22, 2011 by hgpu

Data Layout Pruning on GPU

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

View

Download (PDF)

Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 280, Performance

October 16, 2011 by hgpu

Dymaxion: Optimizing Memory Access Patterns for Heterogeneous Systems

Shuai Che, Jeremy W. Sheaffer, Kevin Skadron

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Optimization, Performance

October 15, 2011 by hgpu

Accelerating code on multi-cores with FastFlow

Marco Aldinucci, Marco Danelutto, Peter Kilpatrick, Massimiliano Meneghin, Massimo Torquati

View

Download (PDF)

Source codes

Tags: Computer science, Memory, Package, Performance, Programming techniques

October 15, 2011 by hgpu

Exploring The Latency and Bandwidth Tolerance of CUDA Applications

Gregory Diamos, Sudnya Padalikar

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPU cluster, Memory, nVidia, Performance, PTX, Tesla C1060

September 30, 2011 by hgpu

Stack-less SIMT reconvergence at low cost

Sylvain Collange

View

Download (PDF)

Tags: ATI, Computer science, Hardware Architecture, Memory, nVidia, Performance

September 30, 2011 by hgpu

SRAM-DRAM hybrid memory with applications to efficient register files in fine-grained multi-threading

Wing-kei S. Yu, Ruirui Huang, Sarah Q. Xu, Sung-En Wang, Edwin Kan, G. Edward Suh

View

Download (PDF)

Tags: Benchmarking, Computer science, Memory, nVidia, Performance

September 20, 2011 by hgpu

CuMAPz: a tool to analyze memory access patterns in CUDA

Yooseong Kim, Aviral Shrivastava

View

Download (PDF)

Tags: Analytical model, Benchmarking, Computer science, CUDA, Memory, nVidia, Performance, Tesla C1060

September 20, 2011 by hgpu

Optimizing a shared virtual memory system for a heterogeneous CPU-accelerator platform

Shoumeng Yan, Xiaocheng Zhou, Ying Gao, Hu Chen, Gansha Wu, Sai Luo, Bratin Saha

Tags: Computer science, Heterogeneous systems, Memory, Operating systems, Performance, Programming Languages

September 12, 2011 by hgpu

Automatic safety proofs for asynchronous memory operations

Matko Botincan, Mike Dodds, Alastair F. Donaldson, Matthew J. Parkinson

View

Download (PDF)

Tags: Cell processor, Computer science, Memory

September 11, 2011 by hgpu

Experiences with Mapping Non-linear Memory Access Patterns into GPUs

Eladio Gutierrez, Sergio Romero, Maria A. Trenas, Oscar Plata

Tags: Computer science, CUDA, Memory, nVidia, Optimization, Programming techniques

September 8, 2011 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

STT-RAM for Shared Memory in GPUs

Hardware Transactional Memory for GPU Architectures

Data Layout Pruning on GPU

Dymaxion: Optimizing Memory Access Patterns for Heterogeneous Systems

Accelerating code on multi-cores with FastFlow

Exploring The Latency and Bandwidth Tolerance of CUDA Applications

Stack-less SIMT reconvergence at low cost

SRAM-DRAM hybrid memory with applications to efficient register files in fine-grained multi-threading

CuMAPz: a tool to analyze memory access patterns in CUDA

Optimizing a shared virtual memory system for a heterogeneous CPU-accelerator platform

Automatic safety proofs for asynchronous memory operations

Experiences with Mapping Non-linear Memory Access Patterns into GPUs

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)