Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


“The Ultimate Trading Machine” from Penguin Computing sets Record for Low Latency

The world of High Frequency Trading is all about reducing latency to make money. At the recent STAC Summit in Chicago, a Penguin Computing device called The Ultimate Trading Machine achieved a record-low 98 nanosecond tick-to-trade latency, some 18% faster than the previous world record. “Facing tremendous pressures to optimize the transaction lifecycle, the financial services industry helps drive innovations in many core technologies. At Penguin Computing, we empower our customers with with open technology solutions that achieve performance requirements while keeping costs low and avoiding vendor lock-in. We are proud to join with our partners to deliver this Ultimate Trading Machine.”

Intel FPGAs Power Acceleration-as-a-Service for Alibaba Cloud

Intel field programmable gate arrays (FPGAs) are now powering the Acceleration-as-a-Service of Alibaba Cloud. “Intel FPGAs offer us a more cost-effective way to accelerate cloud-based application performance for our customers who are running business applications and demanding data and scientific workloads,” said Jin Li, vice president of Alibaba Cloud. “Another key value of FPGAs is that they provide high performance at low power, and the flexibility for managing diverse computing workloads.”

FPGAs Power New Intel Programmable Acceleration Cards

Today, Intel announced a comprehensive hardware and software platform solution to enable faster deployment of customized field programmable gate array (FPGA)-based acceleration of networking, storage and computing workloads. “Intel is making it easier for server equipment makers such as Dell EMC to exploit FPGA technology for data acceleration as a ready-to-use platform,” said Dan McNamara, corporate vice president and general manager of Intel’s Programmable Solutions Group. “With our ecosystem partners, we are enabling the industry with point solutions with a substantial boost in performance while preserving power and cost budgets.”

CCIX Project to link ARM Processors and FPGAs for HPC

Today ARM, Xilinx, Cadence, and Taiwan Semiconductor announced plans to produce the first test chip for the Cache Coherent Interconnect for Accelerators (CCIX) project. CCIX (pronounced “C6”) aims to prove that many-core ARM processors linked to FPGAs have a home in HPC. “The test chip will not only demonstrate how the latest Arm technology with coherent multichip accelerators can scale across the data center, but reinforces our commitment to solving the challenge of accessing data quickly and easily.”

How Intel FPGAs Power Azure Deep Learning

Microsoft Azure CTO Mark Russinovich recently disclosed major advances in Microsoft’s hyperscale deployment of Intel field programmable gate arrays (FPGAs). These advances have resulted in the industry’s fastest public cloud network, and new technology for acceleration of Deep Neural Networks (DNNs) that replicate “thinking” in a manner that’s conceptually similar to that of the human brain.

Accelerating the Alibaba Cloud with Intel Arria 10 FPGAs

The Alibaba Cloud has announced a pilot program with Intel for a cloud-based FPGA acceleration service with the goal of enabling customers to have virtual access to powerful compute resources in the cloud to help them manage business, scientific and enterprise data application workloads more effectively. “This service greatly adds to our value as a leading provider of highly scalable cloud computing and data management services that provide businesses with flexible, reliable connectivity.”

Call for Papers: HPEC 2017 in Waltham

The IEEE High Performance Extreme Computing Conference (HPEC 2017) has issued its Call for Papers. The conference takes place September 12-14 in Waltham, MA. “HPEC is the largest computing conference in New England and is the premier conference in the world on the convergence of High Performance and Embedded Computing. We are passionate about performance. Our community is interested in computing hardware, software, systems and applications where performance matters. We welcome experts and people who are new to the field.”

Intel FPGAs Break Record for Deep Learning Facial Recognition

Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). ZTE’s engineers used Intel’s midrange Arria 10 FPGA for a cloud inferencing application using a CNN algorithm. “ZTE has achieved a new record – beyond a thousand images per second in facial recognition – with what is known as “theoretical high accuracy” achieved for their custom topology. Intel’s Arria 10 FPGA accelerated the raw design performance more than 10 times while maintaining the accuracy.”

Maxeler Dataflow Engine Speeds Compliance Capture and Analytics for Financial Institutions

“As financial institutions acknowledge the importance of data as an asset and as they continue to deploy sophisticated analytics to realize the benefit of that asset, we will begin to see some achieve competitive advantages in this fast-paced marketplace. Of course, these organizations also face continued regulatory scrutiny and disruptive changes to technology that can pose challenges,” said Michael Hay, Vice President and Chief Engineer at Hitachi Data Systems. “Together with our partner Maxeler Technologies, Hitachi Data Systems can help our customers address business demands, stay compliant and transform data into information, insight and opportunities to win.”

AWS Adds FPGAs to its Public Cloud

Amazon Web Services chief evangelist Jeff Barr announced in a recent blog post that the company was adding Xilinx FPGAs to its Amazon Elastic Compute Cloud (Amazon EC2). The addition of this new hardware will allow users to create accelerated FPGA applications, but AWS will also let users sell these applications on the AWS Marketplace. “We are giving you the ability to design your own logic, simulate and verify it using cloud-based tools, and then get it to market in a matter of days,” said Barr.