Incrementally Porting Applications to the GPU using CUDA jl v5 4

Porting your CPU-based applications to GPU can be a challenging task. The all-or-nothing approach to GPU migration can be overwhelming, leading to performance challenges and bottlenecks. Join our subject matter expert Tim Besard to learn how CUDA.jl v5.4 introduces features to ease this transition.
Learn how unified memory enables you to incrementally port your applications using the GPU’s parallelism without compromising on performance.
In this webinar, learn about:
- Unified Memory: Simplifies the porting process by enabling both CPU and GPU access to memory.
- Incremental Porting: Incrementally move parts of your codebase to the GPU - Performance: See examples of accessing elements of unified CuArray, now made faster. Secure your spot today.
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