Discover the key differences between TPUs and GPUs for AI development. Learn which hardware suits your project best in this ...

Semiconductor Engineering sat down to talk about parallelization efforts within EDA with Andrea Casotto, chief scientist for Altair; Adam Sherer, product management group director in the System & ...

These lengthy test cycles in turn slow down development. However, there are some innovative solutions, such as parallelization and smarter tools, that can deal with this challenge. Parallelization ...

The process of breaking down a program into threads is called parallelization, and allows computers to run programs very quickly. In order to "parallelize" algorithms for building models of ...

Minimizing waste and maximizing efficiency are compelling drivers for AI adoption in these domains, and the parallelization of AI models is crucial to achieving these objectives. Building an AI ...

But what if there were a way to overcome these constraints? Enter the realm of print head parallelization, where multiple print heads work together to tackle different sections of a print ...

Parallelization involves breaking down transaction execution into smaller, independent tasks that can be processed simultaneously. Monad introduces four optimizations to improve its consensus ...

Doug Eadline over at Cluster Monkey has the inside skinny on some auto parallelization technology from Russian company Optimitech that you can bolt on to gcc/gfortran One interesting application of ...