hgpu.org » Multilevel summation
Marcos Novalbos, Jaime Gonzalez, Miguel A. Otaduy, Roberto Martinez Benito, Alberto Sanchez
Tags: Algorithms, Biomolecules, Chemistry, CUDA, Electrostatic potential, Electrostatics, FFT, Molecular dynamics, Multilevel summation, N-body simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX Titan
September 15, 2014 by hgpu
David J. Hardy, John E. Stone, Klaus Schulten
Tags: Chemistry, CUDA, Electrostatics, Molecular dynamics, Molecular modeling, Multilevel summation, nVidia, nVidia GeForce GTX 280, Physics, Tesla C870, Tesla D870
November 2, 2010 by hgpu
John E. Stone, James C. Phillips, Peter L. Freddolino, David J. Hardy, Leonardo G. Trabuco, Klaus Schulten
Tags: Chemistry, Computational chemistry, CUDA, Electrostatic potential, Molecular dynamics, Molecular modeling, Multilevel summation, nVidia, nVidia GeForce 8800 GTX
October 30, 2010 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- DeepSeek-V4-Flash on AMD gfx90a: Correctness Recovery and Inference Performance Engineering
- AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines
- Accelerating the Solving of Many Tiny General Linear Systems on GPUs: Application to Constitutive Laws
- PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving
- Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures
- pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
- Microarchitectural Memory Bandwidth Saturation, KV-Cache Paging Dynamics, and Time-to-First-Token Latency: A Comparative Benchmark of vLLM, TensorRT-LLM, and FlashAttention-3 on NVIDIA Hopper H100 versus AMD Instinct MI300X
- KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization
- AI as a Compiler: Compiling Triton kernels without the Triton compiler
- Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions
* * *


