The "Parallel Programming with CUDA and OpenCL Fundamentals" course teaches how to harness GPU computing power for high-performance applications. Learn how to write optimized code for NVIDIA and cross-platform GPUs, improve thread management, and reduce memory latency. With growing adoption of GPUs in data centers, their cybersecurity exposure is rising. This course highlights how vulnerabilities in GPU kernels can be exploited for side-channel attacks or unauthorized data access. Participants gain both coding proficiency and an awareness of GPU-specific cyber risks and protective measures.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
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