Quantum computing hardware tends to garner the lion’s share of the attention from the press, but it’s the software toolkits for these devices that will be key to moving this technology out of the research lab. …
When it comes to weather forecasting and climate modeling, supercomputer maker Cray has plenty of stories to tell. …
Historically, high performance computing has operated in a closed loop, enclosed in its own software cocoon. …
Constructing a processor from an entire silicon wafer might seem like a strange idea, but a new study demonstrated that a waferscale chip can outperform an equivalent multi-chip module MCM by an order of magnitude, while delivering much better energy efficiency. …
Earlier this week, the RIKEN Center for Computational Science (R-CCS) announced that in August it will pull the plug on its flagship HPC system, the K computer. …
Moore’s Law has underwritten a remarkable period of growth and stability for the computer industry. …
TensorFlow, probably the most popular of the dozen or so deep learning frameworks, is typically used to develop neural networks on small or medium-sized clusters, and sometimes on just a single GPU-accelerated node. …
A research collaboration between the National Cancer Institute (NCI) and Lawrence Livermore National Laboratory (LLNL) is demonstrating the value of using machine learning to overcome daunting computational challenges. …
Ayar Labs, a silicon photonics startup based in Emeryville, California, is getting set to tape out its electro-optical I/O chip, which will become the basis of its first commercial product. …
In the deep learning inferencing game, there are plenty of chipmakers, large and small, developing custom-built ASICs aimed at this application set. …
All Content Copyright The Next Platform