Compiler: Translates C/C++ code with CUDA extensions (CUDA C/C++) into instructions executable by NVIDIA GPUs. Libraries: Offers a rich set of libraries for linear algebra, image processing, and other computational tasks. Runtime: Manages the execution of GPU-accelerated code and provides interfaces for interacting with the GPU. Debugger: Helps in finding and fixing errors in CUDA code.
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ReplyDeleteAgra University BCom 1st, 2nd & Final Year Time Table 2020
Key Components:
ReplyDeleteCompiler: Translates C/C++ code with CUDA extensions (CUDA C/C++) into instructions executable by NVIDIA GPUs.
Libraries: Offers a rich set of libraries for linear algebra, image processing, and other computational tasks.
Runtime: Manages the execution of GPU-accelerated code and provides interfaces for interacting with the GPU.
Debugger: Helps in finding and fixing errors in CUDA code.
Deep Learning Projects for Final Year
Profiler: Analyzes application performance to identify bottlenecks and optimization opportunities.