The CEO of Intel spin-off Cornelis Networks explains to CRN why its new 400-Gbps CN5000 family of high-speed networking ...

We believe Ellendale is more than a development project — it’s a launchpad for the future of AI infrastructure,” said Wes ...

Expected to begin operations later this year, it will focus on accelerating the transition from experimental to practical quantum computing ... order) to parallel data processing (executing ...

CHICAGO – April 29, 2025 – Parallel Works, provider of the ACTIVATE control plane for hybrid multi-cloud computing resources ... also supports defense contractors managing CUI and ITAR data, national ...

ACM, the Association for Computing ... scale massively parallel clusters. “His numerous innovations across the whole supercomputer stack—including key contributions such as MPI-3 nonblocking ...

the capability to perform parallel computing was hard to access. The rise of GPU availability through cloud providers has made it easier for eager data scientists to complete their own projects in ...

For now, it’s best to assume threading in Python, by default, won’t give you parallelism ... parallel computing in Python, with a built-in task scheduling system, awareness of Python data ...

Multi-core processors theoretically can run many threads of code in parallel ... can’t handle low-level parallelism properly,” said Martti Forsell, CTO and chief architect at Flow Computing.

Learn More Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing ... embedded systems and data centers, for uses such as edge and cloud computing, AI clouds ...

Good examples of SYCL include Intel’s DPC++ (Data Parallel ... GPU computing more accessible. While Vulkan Compute can also interoperate with APIs like OpenCL, CUDA and DirectX 12, there are some very ...

“Cloud computing is becoming the de facto security model and most people would accept that most cloud deployments are more secure than what you would have in a more traditional data center ...