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Insilico Applies Deep Learning to Drug Discovery

“The world of artificial intelligence is rapidly evolving and affecting every aspect of our daily life. And soon this progress will be felt in the pharmaceutical industry. We set up the Pharma.AI division to help pharmaceutical companies significantly accelerate their R&D and increase the number of approved drugs, but in the process we came up with over 800 strong hypotheses in oncology, cardiovascular, metabolic and CNS space and started basic validation. We are cautious about making strong statements, but if this approach works, it will uberize the pharmaceutical industry and generate unprecedented number of QALY,” said Alex Zhavoronkov, PhD, CEO of Insilico Medicine, Inc.

Ansys SeaHawk Brings Big Data Analytics to EDA

Ansys, a provider of engineering simulation technology, has announced the release of its SeaScape architecture to help engineers accelerate the optimization of designs using a combination of elastic computation, machine learning, big data analytics and simulation technology.

Cray Urika-GX System to Tackle Big Data Analytics

“We took the Aries system interconnect from our supercomputers, the industry-standard architecture of our clusters, the scalable graph engine from the Urika-GD appliance, and the pre-integrated, open infrastructure of our Urika-XA system and combined them into one agile analytics platform. The Urika-GX gives our customers the tool they need to overcome their most advanced analytics challenges today, and the platform to bridge to tomorrow.”

Larry Smarr Presents: Using Supercomputers to Reveal your Inner Microbiome

“I have been collecting massive amounts of data from my own body over the last ten years, which reveals detailed examples of the episodic evolution of this coupled immune-microbial system. An elaborate software pipeline, running on high performance computers, reveals the details of the microbial ecology and its genetic components. A variety of data science techniques are used to pull biomedical insights from this large data set. We can look forward to revolutionary changes in medical practice over the next decade.”

Dr. Pam McCauley to Keynote XSEDE16

Today XSEDE announced that Dr. Pamela McCauley has been named a plenary speaker for the XSEDE16 conference. In this dynamic keynote address, McCauley will discuss the impact of innovation on individuals, nations, and the global society.

Ryft: Bringing High Performance Analytics to Every Enterprise

Pat McGarry from Ryft presented this talk at the HPC User Forum in Tucson. “Years in the making, the Ryft ONE combines two proven innovations in hardware and software to optimize compute, storage and I/O performance: the Ryft Hybrid FPGA/x86 Compute Platform, which leverages a massively parallel bitwise computing architecture and the Ryft Algorithmic Primitives (RAP) Library.

Nvidia in the Driver’s Seat for Deep Learning

In this special guest feature, Robert Roe from Scientific Computing World describes why Nvidia is in the driver’s seat for Deep Learning. “Nvidia CEO Jen-Hsun Huang’s theme for the opening keynote was based on “a new computing model.” Huang explained that Nvidia builds computing technologies for the most demanding computer users in the world and that the most demanding applications require GPU acceleration. ‘The computers you need aren’t run of the mill. You need supercharged computing, GPU accelerated computing’ said Huang.”

New DDN Flashscale Array Delivers NVMe Performance for HPC

Today DataDirect Networks announced DDN Flashscale, a new family of all-flash scale-out and scale-up storage solutions, which delivers the highest performance and capacity in a cost-optimized and feature rich platform designed for Enterprise Big Data and Analytics, Web Scale Cloud, and HPC environments. “DDN Flashscale’s fast embedded PCIe fabric delivers full native performance and extreme low latency from 48 NVMe or 72 SAS or any mix of SSDs while offering cost optimized sub $1/GB all-flash storage up to 576TB, 6 Million IOPS and 60GB/s per 4U node.”

Combating the Spread of Disease with HPC

In this special guest feature, Lance Farrell writes that, in this era of global air travel, NSF-funded researchers are using supercomputers to equip policy makers with the evidence needed to make fast, accurate choices in the event of an epidemic.

TGAC Installs Worlds Largest SGI UV 300 Supercomputer for Life Sciences

Today SGI announced the deployment of its largest SGI UV 300 supercomputer to date at The Genome Analysis Centre (TGAC) in the UK. As one of the largest Intel SSD for PCIe*deployments worldwide, TGAC’s new supercomputing platform gives the research Institute access to the next-generation of SGI UV technology for genomics. This will enable TGAC researchers to store, categorize and analyze more genomic data in less time for decoding living systems and answering crucial biological questions. “The combination of processor performance, memory capacity and one of the largest deployments of Intel SSD storage worldwide makes this a truly powerful computing platform for the life sciences.”