Researchers at MIT and Harvard University recently published a study outlining how deep learning is helping seismologists detect earthquakes that might have otherwise been missed. … Read more
The Italian multinational oil giant Eni deployed a 18.6 petaflops GPU-accelerated supercomputer, making it the most powerful industrial system in the world. … Read more
University of San Diego researchers developed a deep learning-based method to identify the molecular structures of natural products such as soil microorganisms, terrestrial plants and, marine life forms. … Read more
Phil Maechling, a computer scientist at USC’s Southern California Earthquake Center shares how they are using the Tesla GPU-accelerated Titan and Blue Waters supercomputers with CUDA to analyze the impact of earthquakes and why and when they occur. … Read more
Texas A&M installed a new $2.1 million supercomputer with 10 times the processing power of their previous system Eos, which was launched in 2009. Nicknamed “Terra,” the new supercomputer … Read more
To accelerate biomedical research, Australia’s Monash University boosted its research infrastructure with a third GPU-accelerated supercomputer called MASSIVE-3. MASSIVE-3 is equipped with both Tesla GPUs and Quadro GPUs for data processing and visualization, driving the new system nearly four times faster than MASSIVE-2. … Read more
Jeroen Tromp, Professor at Princeton University shares how his team is using the Tesla GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory to image the earth’s interior on a global scale. Tromp and his team are simulating seismic wave propagation by analyzing hundreds of earthquakes recorded by … Read more