Processors recently have added explicit parallelism in the form of multiple cores, and processor road maps are showing the number of cores increasing exponentially over time. This is in addition to ...

Processors recently have added explicit parallelism in the form of multiple cores, and processor road maps are showing the number of cores increasing exponentially over time. This is in addition to ...

A technical paper titled “Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation” was published by researchers at MIT (CSAIL), Argonne National Lab, and TU ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics. This ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

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 ...

Traditional approaches to programming such complex SoCs focus on manually partitioning the application across the various cores and hand optimizing the appropriate sections of the application for a ...

Advanced study in models of computation, programming languages and algorithms with a specific focus on concurrent programming. The course includes models of computation, programming language paradigms ...

SAN JOSE, Calif. — Six companies are contributing a total $6 million to kick off a three-year project at Stanford University to explore fresh models for parallel programming. The effort is one of ...

Our research focuses on the application of heterogeneous and many-core computing to solve large-scale scientific and ML problems. Related research problems we are addressing include: performance ...