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