As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...

From academic breakthroughs to enterprise infrastructure, Abhigyan Khaund is shaping the future of resilient software systems ...

Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

This flexibility is crucial for the long-term development of quantum computing, as it helps prevent the system from becoming ... processors work in parallel across a network, much like traditional ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

Most companies have NUMA servers, so even their isolated systems have some modicum of distributed computing embedded in them. The NUMA in a two-socket server is so good these days that the overhead is ...

Scalable distributed parallel computing using a high-performance communications fabric is an essential part of what makes the training of deep learning on large complex datasets tractable in ... “How ...