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Deep Learning and Automatic Differentiation from Theano to PyTorch

Inquisitive minds want to know what causes the universe to expand, how M-theory binds the smallest of the small particles or how social dynamics can lead to revolutions. “The way that statisticians answer these questions is with Approximate Bayesian Computation (ABC), which we learn on the first day of the summer school and which we combine with High Performance Computing. The second day focuses on a popular machine learning approach ‘Deep-learning’ which mimics the deep neural network structure in our brain, in order to predict complex phenomena of nature.”

PRACE Launches Outreach to Universities Program

The European Partnership for Advanced Computing in Europe (PRACE) is expanding to make its programs and training offerings more accessible for university students and faculty members. “The Outreach to Universities program is the one-stop shop where the latest student-centric information on programs, educational opportunities and more can be found.”

Consumer GPUs come to NVIDIA GPU Cloud for AI Research

Today NVIDIA announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into the power of NVIDIA GPU Cloud. “With GPU-optimized software now available to hundreds of thousands of researchers using NVIDIA desktop GPUs, NGC will be a catalyst for AI breakthroughs and a go-to resource for developers worldwide.”

Apply now for Argonne Training Program on Extreme-Scale Computing 2018

Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing (ATPESC). The event takes place from July 29-August 10, 2018 in greater Chicago. “With the challenges posed by the architecture and software environments of today’s most powerful supercomputers, and even greater complexity on the horizon from next-generation and exascale systems, there is a critical need for specialized, in-depth training for the computational scientists poised to facilitate breakthrough science and engineering using these amazing resources.”

NVIDIA Expands Deep Learning Institute

Today NVIDIA announced a broad expansion of its Deep Learning Institute (DLI), which is training tens of thousands of students, developers and data scientists with critical skills needed to apply artificial intelligence. “The world faces an acute shortage of data scientists and developers who are proficient in deep learning, and we’re focused on addressing that need,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As part of the company’s effort to democratize AI, the Deep Learning Institute is enabling more developers, researchers and data scientists to apply this powerful technology to solve difficult problems.”

Bringing Diversity to Computational Science

“Computing is one of the least diverse science, technology, engineering, and mathematics (STEM) fields, with an under-representation of women and minorities, including African Americans and Hispanics. Leveraging this largely untapped talent pool will help address our nation’s growing demand for data scientists. Computational approaches for extracting insights from big data require the creativity, innovation, and collaboration of a diverse workforce.”

IDEAS Program Fostering Better Software Development for Exascale

Scalability of scientific applications is a major focus of the Department of Energy’s Exascale Computing Project (ECP) and in that vein, a project known as IDEAS-ECP, or Interoperable Design of Extreme-scale Application Software, is also being scaled up to deliver insight on software development to the research community.

20 Future HPC Leaders Receive DOE Computational Science Graduate Fellowship

Today the Krell Institute announced that new class of 20 future HPC leaders enrolled at U.S. universities this fall with support from the Department of Energy Computational Science Graduate Fellowship (DOE CSGF). “Established in 1991, the Department of Energy Computational Science Graduate Fellowship provides outstanding benefits and opportunities to students pursuing doctoral degrees in fields that use high-performance computing to solve complex science and engineering problems.”

PRACE Offers Supercomputing 101 Course

PRACE is offering an online Supercomputing 101 course through the Future Learn program. This free online course will introduce you to what supercomputers are, how they are used and how we can exploit their full computational potential to make scientific breakthroughs. “Using supercomputers, we can now conduct virtual experiments that are impossible in the real world.”

Test Your Knowledge with the MPI Quiz

In this video, David Henty from EPCC conducts a video-based quiz on MPI. “The multiple-choice questions are partly designed for fun to test attendees’ knowledge, but are mainly aimed at promoting discussion about MPI and its usage in real applications. All that is assumed is a working knowledge of basic MPI functionality: send, receive, collectives, derived datatypes and non-blocking communications.”