Many movies have explored the great things humans could do if only they had access to 100 percent of the brain’s cognitive powers. While the myth persists that humans only use 10 percent of their ...
In part one of this article, we show how video applications present opportunities for multiple forms of parallelism. We then review the hardware and software approaches for exploiting these ...
Abstract: High-performance fault simulation is one of the essential and preliminary tasks in the process of online and offline testing of machine learning (ML) hardware. Deep neural networks (DNN), as ...
Abstract: The design philosophy of many-core architectures such as graphics processing units (GPUs) is to exploit thread-level parallelism (TLP) to achieve high throughput. Compared to central ...
This project explores Thread-Level Parallelism (TLP) and its application in shared-memory multiprocessor systems using the gem5 simulator. The goal is to understand how different architectural ...
The more frames encoded simultaneously, the more parallelism you can exploit. Therefore, P frames are the critical point in the encoder. Accelerating P-frame encoding makes more frames ready for ...
Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython is used for wrapping external C libraries that speed up the execution of a ...
This repository contains the projects for the "Parallel Programming" course. The assignments provide practical experience with different parallel programming paradigms, from low-level data parallelism ...
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