System enables large speedups — as much as 88-fold — on common parallel-computing algorithms (MIT) A new system called Fractal achieves 88-fold speedups through a parallelism strategy known as ...

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

Important parallel algorithms and data structures will be discussed, including the notion of lock-free data structures. Note that this class lightly touches upon GPU programming; students primarily ...

With support and funding from Intel, research at the new center will use high performance parallel computing to solve problems in finance. Researchers will develop computational algorithms and ...

Viewshed analysis is a critical process within Geographic Information Systems (GIS) that determines the visibility of terrain from a given observation point. Recent progress in parallel computing ...

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...

In 1994, MIT professor of applied mathematics Peter Shor developed a groundbreaking quantum computing algorithm capable of factoring numbers (that is, finding the prime numbers for any integer N ...