“The end of Dennard scaling has made all computing power limited, so that performance is determined by energy efficiency. With improvements in process technology offering little increase in efficiency innovations in architecture and circuits are required to maintain the expected performance scaling. The large scale parallelism and deep storage hierarchy of future machines poses programming challenges. Future programming systems must allow the programmer to express their code in a high-level, target-independent manner and optimize the target-dependent decisions of mapping available parallelism in time and space. This talk will discuss these challenges in more detail and introduce some of the technologies being developed to address them.”
Penguin Computing just announced the Altus Altus 2a30, a building block for the first application optimized accelerated processing unit (APU) clusters, making seamless GPU and CPU memory sharing on clusters a reality based on heterogeneous system architecture (HSA) from AMD. The shared memory capability involves very lightweight context switches to switch instantaneously between the GPU and CPU, whichever code runs best at a given moment.
“A crazy idea was born at ISC14 while answering questions about the new energy metrics in Allinea Performance Reports and Allinea MAP – could the information in these reports show us an easy way to increase energy efficiency without having to change the program? The idea was to use CPU frequency scaling to run memory-bound jobs at a lower clock frequency. In Lazy Energy Efficiency Challenge One, I found that on a synthetic benchmark I could increase the iterations per watt by 19% on a memory-bound code.”
“NREL’s HPC center is home to the largest HPC system in the world dedicated to advancing renewable energy and energy efficiency technologies. In addition, the HPC data center is one of the most energy efficient data centers in the world, featuring warm-water liquid cooling, and waste heat capture and re-use to reduce energy use and lower costs.”
In this special guest feature, Penguin Computing Chief Technology Officer Phil Pokorny writes that Open Compute Project has great potential to spark HPC innovation. In just three and a half years since Facebook announced the Open Compute Project (OCP), the cooperative industry effort is showing exceptional progress toward delivering significantly more efficient hardware into the […]
In this podcast, the Radio Free HPC team discusses a new Paypal project that is leveraging TI Keystone DSP processors for systems intelligence. “Paypal has developed a novel approach to systems intelligence. By analyzing their chaotic real-time server data, they can produce organized, intelligent results using HP’s Moonshot server powered by TI DSP processors.”