Intel on Monday announced a new brawny HPC processor and a family of network fabric components that incorporates silicon photonics technology. The new chip, the next-generation of the Xeon Phi family, comes with up to 16 gigabytes of high-performance memory and more than 60 computing cores. The fabric lineup, called Omni Scale will include PCIe adapters, switches and software, as well as director switches that replace electrical transceivers with silicon photonics for improved speed and fewer cables. Intel is promising better performance and greater efficiency with the new tech — something it might need considering the introduction of ARM-plus-GPU-based chips into the HPC market that Intel presently dominates.
Quantum computing alone may not be a panacea to all computing problems. However, when paired with high-performance computing, it may be able to find better answers to some of our most pressing issues.
Cycle Computing CEO Jason Stowe dives deep into the economic and innovative benefits of running massive scientific workloads in the cloud. When researchers aren’t constrained by the systems the can afford, they can ask bigger questions and get better results.
Bina Technologies, a company aiming to make genome processing faster and cheaper, has accepted $1.75 million for its Series B round, which included $6.25 million from Sierra Ventures. Behind the new capital are Jerry Yang of AME Cloud Ventures and Mohsen Moazami of Columbus Nova Technology Partners.
GridGain Systems has raised a $10 million series B investment round for its suite of in-memory computing technology. In-memory databases are popular because of their low latency, but GridGain actually offers a whole line of other use-specific products, including for high-performance computing and Hadoop. Almaz Capital led the round, with participation from existing investor RTP Ventures.
A scale-out storage company called Scality has raised a $22M Series C round and claims big growth, but it’s competing in a very tight space.
As part of its new big-data-focused XDATA initiative, DARPA has invested $3 million in a startup called Continuum Analytics. The company’s aim is to extend Python’s prowess in scientific computing into the world of big data and analytics.
Amazon Web Services has introduced its latest instance — an 88-core, 240 GB SSD, 244 GB RAM and 10 GbE behemoth designed for real-time analytics with software like SAP HANA, as well as demanding scientific workloads.
According to Amazon Web Services Chief Data Scientist Matt Wood, big data and cloud computing are nearly a match made in heaven. Limitless, on-demand and inexpensive resources open up new worlds of possibility, and a central platform makes it easy for communities to share huge datasets.
Autodesk now offers a cloud-based version of its simulation software for a fraction of the cost of most similar on-premise options. While large enterprises might not being willing to make the jump yet, some innovative startups are already on board and testing the future.