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Laziness to the rescue

Laziness to the rescue

Lazy evaluation or laziness as it is colloquially known is delayed evaluation of an expression until we really require its result. It’s like making a promise, fulfilling it only at the nick of time. It lets us define infinite data structures without explicit allocating memory to create and store them.

Memory Optimizations for Deep Learning Workloads on Hardware Accelerators

The objective of the project lies in exploring memory optimizations for speeding up training of large Deep Neural Networks (DNN) using oneAPI’s DPC++ toolchain for any general purpose heterogeneous architecture comprising multicore CPUs, integrated GPUs as well as general purpose hardware accelerators with discrete memory spaces such as discrete GPUs and FPGAs. Currently the project is in the concept stage.

Virtual Sessions for ACM Sac State Students Progressive Hackathon and Sac State Carlson Center Toolkit Series

Virtual Sessions for ACM Sac State Students Progressive Hackathon and Sac State Carlson Center Toolkit Series

Virtual Activities with the ACM Sac State Students Progressive Hackathon and Sac State Carlson Center Toolkit Series started in early April right during the midst of the tragic Covid-19 situation and we quickly moved into Zoom based sessions. We plan to continue the Sac State Students Progressive Hackathon having attracted students from beyond Sacramento and we now call it the Cal-IOT

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