hgpu.org » Membrane computing
Jose M. Cecilia, Jose M. Garcia, Gines D. Guerrero, Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez
Tags: Computer science, CUDA, Membrane computing, nVidia, Tesla C1060
November 19, 2010 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- Acceleration as a Service (XaaS) Source Containers
- Omniwise: Predicting GPU Kernels Performance with LLMs
- Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs
- All You Need Is Binary Search! A Practical View on Lightweight Database Indexing on GPUs
- CUDA-LLM: LLMs Can Write Efficient CUDA Kernels
- Engineering Supercomputing Platforms for Biomolecular Applications
- GCStack+GCScaler: Fast and Accurate GPU Performance Analyses Using Fine-Grained Stall Cycle Accounting and Interval Analysis
- P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code
- chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations
- A First Look at Bugs in LLM Inference Engines
* * *