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New CUDA Toolkit Released
A new production release of CUDA shipped today. This new release makes it faster and easier to accelerate scientific research with GPUs. Key features include a re-designed Visual Profiler with automated performance analysis, a new LLVM-based compiler that helps your apps run up to 10% faster, and 1000+ new imaging and signal processing functions in the NPP library. We’ve also added a new tri-diagonal solver, 2x faster SpMV using the ELL hybrid format, and some great improvements to the debugging and performance analysis tools. Learn more and download from CUDAZone
Groups:
- Medical Image Analysis and Visualization
- Building High Performance Computers and Clusters with GPU's
- GPU Computing General Topics
- Molecular Modeling
- Lattice Quantum Chromodynamics (lattice QCD)
- Computational Finance
- Computational Fluid Dynamics
- General Linear Algebra Kernels/Solvers
- Machine Learning and Data Mining
- Data Structures and Algorithms
- GPU Computing in Education
- GPU Computing UK
- Heterogeneous Architectures for HPC
- Distributed Computing on GPUs
- Bioinformatics and Computational Biology
- GPUs in Neuroscience
- Computer Vision
- Computational Biomechanics for Medicine
- Physically-Based Animation
- Electronic Design Automation
- GPU Computing Denmark
- Computational Mechanics
- Architecture Research and Simulation Tools
- Alternative GPU Programming Systems
- GPU and the 13 Dwarfs
- Information Retrieval on GPU
- GPU Computing Argentina
- GPU Computing Australia
- FFTs on GPUs
- GPU Computing Gems Source Code
- GPU Computing Research Forum
- GPU Computing Portugal
- Ray Tracing
- GPU Development Help
- Physics and Astronomy
- Rendering on GPUs
- Visualization on GPUs
- Simulations on GPUs
- Security/Cryptography
- Programming & Optimization
- PDEs on GPUs
- Needs Group Details
- Atmospheric Science
- Signal Processing
- Power Consumption / Efficiency
- Compression
- Audio
- Video
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