In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

The class schedule, list of staff, the library documentation and the course book are availabe from the tabs above. The schedule includes lecture dates, due dates, links to quizes, and which chapters ...

Course discussion and questions are available on Ed for students in the class. This is also where the syllabus (class policies), labs, and recitation notes are kept. Class, recitation, office hour, ...

Abstract: Combinational equivalence checking (CEC) is a fundamental task in the realization of digital designs which is unlikely to have universally efficient algorithms due to its co-NP-completeness.

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...

├── notes/ # Theoretical concepts and explanations │ ├── 01_introduction/ # Basics of parallel computing │ ├── 02_gpu_architecture/ # GPU hardware fundamentals │ ├── 03_cuda_basics/ # CUDA programming ...