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)
- Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4
- Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization
- Spec Sheets Are Not Kernels: An ISA- and Source-Level Audit of INT8 Availability on NVIDIA Blackwell Ultra
- Harness Engineering for LLM-Driven GPU Kernel Generation
- Validation-Centric AI-Assisted GPU Porting of a 250,000+ Line Legacy Weather Simulation Code
- CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution
- FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers
- A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family
- NVIDIA-labs OO Agents: Native Python Object-Oriented Agents
- PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs
* * *



