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Slidecast: How to Improve the Performance of Parallel Codes

In this slidecast from the POP Centre of Excellence in Barcelona, Jon Gibson from NAG presents: How to Improve the Performance of Parallel Codes. As part of the EU-funded Performance Optimization and Productivity (POP) Centre of Excellence, NAG offers HPC expertise to organizations who want help to understand and improve the performance of parallel software.

FutureLearn Offers Free Course on HPC in the Cloud

Today the CloudLightning project announced a free open online course on High Performance Computing in the Cloud. “Developed in collaboration with the Irish Centre for Cloud Computing and Commerce (IC4) and Dublin City University, the course provides an advanced graduate-level introduction to using cloud computing for high-performance computing workloads. It will cover a wide range of topics from cloud architecture and infrastructure supporting HPC to the business opportunities that are enabled by HPC in the cloud.”

Apply Now for the Summer of HPC in Edinburgh

Applications are now open for the PRACE Summer of HPC 2018. The Summer of HPC is a PRACE outreach and training program that offers summer placements at top HPC centers across Europe to late-stage undergraduates and early-stage postgraduate students. “Consisting of a training week and two months on placement at top HPC centers around Europe, the program offers participants the opportunity to learn and share more about PRACE and HPC, and includes accommodation, a stipend and travel.”

Apply Now for 2018 International HPC Summer School

Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the ninth International HPC Summer School on HPC Challenges in Computational Sciences in the Czech Republic July 8-13, 2018. “Hosted by the IT4Innovations National Supercomputing Centre, the summer school in Ostrava is organized by the Partnership for Advanced Computing in Europe (PRACE), the Extreme Science and Engineering Discovery Environment (XSEDE), the RIKEN Advanced Institute for Computational Science (RIKEN AICS), and the SciNet HPC Consortium.”

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.”