August 3, 2023
The success of GPU coprocessors has invited developers to focus on combined CPU/GPU performance and optimization. Primarily by using CUDA, (and OpenCL, OpenACC, Read more…
March 17, 2016
A deep learning acceleration solution based on Altera’s Arria® 10 FPGAs and DNN algorithm from iFLYTEK, an intelligent speech technology provider in China, r Read more…
September 5, 2013
When it comes to mainstream adoption of the use of GPUs and other accelerators, one of the primary barriers lies in programmability. While the vendor communities around accelerators have pushed to flatten the learning curve, the fact remains that it takes special effort on the part of ordinary developers to undertake the educational process. In this in-depth audio feature, we talk to Rice University researcher, Max Grossman about how Java... Read more…
July 11, 2013
HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development. Read more…
July 10, 2013
This week we talked with AMD's GM of the Server Business Unit, Andrew Feldman about his company's role in the future of HPC. We asked how invested they are in the future of this market, what technologies will push their drive forward, and where they see the biggest opportunities in high performance computing. Interestingly, we found that.... Read more…
May 6, 2013
In this article, we will consider how OpenCL can address some of the coming challenges, and what the OpenCL community is doing to insure that there is a vibrant ecosystem of support, as more and more users turn to OpenCL from vendor-locked solutions. Read more…
February 28, 2013
The top research stories of the week include lessons learned from system failures; a cross-platform OpenCL implementation; the best memory to extract GPU's potential; innovative ideas for next-generation interconnects; and the benefits of cloud storage to HPC applications. Read more…
December 6, 2012
Today's notion of safe passwords may soon be a thing of the past. Thanks to cheaper hardware, cloud software, and free password cracking programs, it's easier than ever to hack these digital keys. Just how easy? Earlier this week, a custom-built GPU cluster tore through 348 billion password hashes per second during the Passwords^12 Conference in Oslo, Norway. Read more…
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.
Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.
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