As designs increase in complexity to cater to the insatiable need for more compute power spurred by different AI applications ranging from data centers to self-driving cars, designers are constantly faced with the challenge of meeting the elusive PPA (Power Performance and Area) targets.
PPA over-design has repercussions resulting in increased product cost as well as potential missed schedules with no guarantee of product success. Advanced SoCs pack more functionality and performance which result in higher power density. Traditional approaches of uniformly over-designing the power grid which has worked in the past is no longer an option with routing resources becoming severely constrained. To add to these woes, there are hundreds of combinations of PVT corners to solve for along with the increasing number of applications. Continue reading
NVIDIA recently announced its ultra high-end Quadro GP100 graphics card in February. Comparing to previous generations of Quadro cards, the new card runs much faster and is more power efficient. The new GP100 GPU has 3,584 CUDA cores, which deliver 10.6 and 5.3 teraflops floating point performances for single- and double-precision, respectively.
The GPU is also equipped with 16 GB HBM2 (the 2nd generation high-bandwidth memory) which allows data to be transferred at a lightning fast speed of 720 GB/sec. Both factors enhance the performance for running the most demanding transient electromagnetic simulation.
The paradigm of supercomputing has shifted rapidly during the past decade. Ten years ago when we heard “NVIDIA”, immediately we associated the brand name with computer graphics, games and animation. NVIDIA’s breakthroughs in graphics processing unit (GPU) technology make supercomputing inexpensive and widely accessible nowadays. In addition to its visual computing leadership, NVIDIA also strives for green computing where its hardware design aims at the best performance per watt. More than eight teraflops of computing power can be achieved on an NVIDIA Tesla K80 that consumes less than 300 watts of electricity. Continue reading
Last week, technical managers, IT managers and advanced users of CAE simulation software gathered at the Volandia Flight Museum in Milan, Italy, to discuss how aerospace industry simulation experts can effectively deal with the increasingly complex challenges they face.
ANSYS and Enginsoft, along with HP and Nvidia, came together to present a full overview that included not only software, but complete solutions made through a combination of software, hardware processes and knowledge. This event opened with Robert Harwood, Global Aerospace & Defense Director of ANSYS, discussing the trends in the aviation industry around the world. Continue reading
On November 28, 2011, Newsweek reported that China outpaces the U.S. in the race for the fastest supercomputer. Does the U.S. consider this as a threat or opportunity?
Design and manufacturing are central drivers of the global economy. As part of their product development process, industries as diverse as automotive, aerospace and defence, electronics, pharmaceutical, biomedical and renewable energy are investing in the ability to model, simulate and process data. This investment drives the technological advancements needed to develop future products and services, and allows regions around the world to maintain their economic positions.