In this video, Siraj Rival from Twilio presents a quick tutorial on How to Build a Neural Net in 4 Minutes. Siraj describes himself as the Bill Nye of Computer Science.
Hadoop and Spark clusters have a reputation for being extremely difficult to configure, install, and tune, but help is on the way. The good folks at Cluster Monkey are hosting a crash course entitled Apache Hadoop with Spark in One Day. “After completing the workshop attendees will be able to use and navigate a production Hadoop cluster and develop their own projects by building on the workshop examples.”
Today the OpenACC standards group announced a set of additional hackathons and a broad range of learning opportunities taking place during the upcoming GPU Technology Conference being held in San Jose, CA April 4-7, 2016. OpenACC is a mature and performance-portable path for developing scalable parallel programs across multi-core CPUs, GPU accelerators or many-core processors.
The Blue Waters project at the University of Illinois is offering a new graduate course entitled Introduction to High Performance Computing. The course will be offered as a collaborative, online course for multiple participating institutions fall semester 2016. “The project is seeking university partners that are interested in offering the course for credit to their students. The course includes online video lectures, quizzes, and homework assignments with access to free accounts on the Blue Waters system.”
Submissions opened today for ACM SIGHPC/Intel Computational & Data Science Fellowships. Designed to increase the diversity of students pursuing graduate degrees in data science and computational science, the program will support students pursuing degrees at institutions anywhere in the world.
Applications are now being accepted for the Student Volunteers Program at the SC16 conference. As the premier international conference for high performance computing, networking, data storage and analysis, SC16 takes place Nov. 13-18 in Salt Lake City.
The summer of 2016 will see a raft of summer schools and other initiatives to train more people in high-performance computing, including efforts to increase the diversity of HPC specialists with a specific program aimed at ethnic minorities. But interested students need to get their applications in now.
Computational scientists now have the opportunity to apply for the upcoming Argonne Training Program on Extreme-Scale Computing (ATPESC), to take place from July 31-August 12, 2016. “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. This program provides intensive hands-on training on the key skills, approaches and tools to design, implement, and execute computational science and engineering applications on current supercomputers and the HPC systems of the future. As a bridge to that future, this two-week program to be held at the Pheasant Run Resort in suburban Chicago fills many gaps that exist in the training computational scientists typically receive through formal education or shorter courses.”
PRACE is seeking students interested in spending the summer working abroad. Consisting of a training week and two months at a European High Performance Computing Center, the program affords participants the opportunity to learn and share more about PRACE and HPC, and includes accommodation, a stipend and travel to their HPC center placement.
Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the seventh International Summer School on HPC Challenges in Computational Sciences, to be held June 26 to July 1, 2016, in Ljubljana, Slovenia. The summer school is sponsored by the Extreme Science and Engineering Discovery Environment (XSEDE) with funds from the U.S. National Science Foundation, Compute/Calcul Canada, the Partnership for Advanced Computing in Europe (PRACE) and the RIKEN Advanced Institute for Computational Science (RIKEN AICS).