Rahul Ramasubramanian

Rahul Ramasubramanian is a senior software engineer with the CUDA performance team at NVIDIA. He holds a master's degree in electrical and computer engineering from North Carolina State University, Raleigh. His interests are in the area of performance optimizations in heterogeneous computing environments and memory management.
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Posts by Rahul Ramasubramanian

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Simulation / Modeling / Design

Improving CUDA Initialization Times Using cgroups in Certain Scenarios

Many CUDA applications running on multi-GPU platforms usually use a single GPU for their compute needs. In such scenarios, a performance penalty is paid by... 5 MIN READ