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CUDA GPU Development

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Eran G.
CUDA GPU Development

Details

On our April meeting, we are happy to host Tomer Gal for a talk about CUDA GPU development. With CUDA, C and C++ programmers can make use of the powerful GPU, making their code run even faster.

Agenda

17:00 - Gather and refreshments, courtesy of OpTeamizer
17:30 - CUDA GPU Development, Tomer Gal
18:30 - Wrap-up and raffle

Abstract

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world's fastest massively parallel GPUs. Experience C/C++ application acceleration by:

  • Accelerating CPU-only applications to run their latent parallelism on GPUs
  • Utilizing essential CUDA memory management techniques to optimize accelerated applications
  • Exposing accelerated application potential for concurrency and exploiting it with CUDA streams

Bio

Tomer Gal is the founder and CTO of OpTeamizer. OpTeamizer is an NVIDIA preferred partner and Tomer is NVIDIA's DLI instructor in Israel for the courses of CUDA(C++), CUDA(Python) and Deep Learning for Computer Vision.
Tomer lectures both in the industry and in Ort Braude college of engineering where he teaches/taught the courses of: Deep Learning, Parallel programming (CUDA / OpenCL), Theory of compilation, Android development and other courses. In the past, while completing his Masters degree related to Software optimizations, Tomer has taught: Introduction to hardware, Computer organization and design (Assembly), Introduction to operating systems.
Prior to founding OpTeamizer, Tomer has worked at the Intel CPU Architecture team for 4 years and then at GE Healthcare Ultrasound team as a team leader, leading the performance and reliability team.

About OpTeamizer: OpTeamizer is an NVIDIA preferred partner, forming the DLI branch in Israel for teaching NVIDIA courses.
The company currently employs 16 software engineers and provides software development services for companies in segments such as: Healthcare, Semiconductors, Automotive, Fintech and Defense systems. For more, see OpTeamizer introduction video: https://www.youtube.com/watch?v=mlZtZWRrPB4

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