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 ...

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 ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

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 ...

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 ...

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 ...

The end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microprocessor in computing. The era of sequential computing must give way to a new ...

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 ...

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 ...

Programming processors is becoming more complicated as more and different types of processing elements are included in the same architecture. While systems architects may revel in the number of ...