Intel Gold U-Series SKUs Reveal Single Socket Intentions

April 18, 2019

Intel plans to jump into the single socket market with a portion of its just announced Cascade Lake microprocessor line according to one media report. This isn Read more…

AMD’s EPYC Road to Redemption in Six Slides

June 21, 2018

A year ago AMD returned to the server market with its EPYC processor line. The earth didn’t tremble but folks took notice. People remember the Opteron fondly Read more…

New Photoresist Could Add Years to Moore’s Law

July 17, 2014

Over the last five decades, microprocessors have gotten cheaper and more powerful as predicted by Gordon Moore's famous observation, which states that the numbe Read more…

Graphene Faces Real-World Limitations

May 5, 2014

Graphene is a one-atom-thick layer of carbon that has been hailed as a potential silicon replacement capable of extending the exponential computing advances tha Read more…

New Research Advances Heterogenous 3D Chip Design

February 6, 2014

As transistors approach the limits of miniaturization, the rapid pace of progress in the microprocessor industry is destined to start declining unless researche Read more…

Russia Sets Its Sights on Exascale

March 27, 2012

While much attention has focused on China's rising supercomputing prospects lately, a number of other countries, including Russia, are also quickly muscling up their HPC resources. With their eyes set on exascale, Russia is planning to invest over a billion dollars this decade to field at least one such system by 2020. Read more…

Designer of Microprocessor-Memory Chip Aims to Topple Memory and Power Walls

January 17, 2012

Whether you're talking about high performance computers, enterprise servers, or mobile devices, the two biggest impediments to application performance in computing today are the memory wall and the power wall. Venray Technology is aiming to knock down those walls with a unique approach that puts CPU cores and DRAM on the same die. The company has been in semi-stealth mode since it inception seven years ago, but is now trying to get the word out about its technology as it searches for a commercial buyer. Read more…

The Expanding Floating-Point Performance Gap Between FPGAs and Microprocessors

November 22, 2010

For the past several years, Field Programmable Gate Arrays (FPGAs) have been getting large enough to compete with microprocessors in floating-point performance. Using the theoretical peak performance numbers, the FPGA's floating-point performance is growing faster than microprocessors. This article calculates the peak performance for several FPGA devices from Xilinx and compares them to a reference microprocessor for equivalent time periods and shows that this gap in performance is growing. Read more…

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Whitepaper

A New Standard in CAE Solutions for Manufacturing

Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.

As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.

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