This is the second article in a two-part series about the challenges facing the HPC community in training people to write code and develop algorithms for current and future, massively-parallel, massive-scale HPC systems.
“Space Debris are defunct objects in space, including old space vehicles (such as satellites or rocket stages) or fragments from collisions. Space debris can cause great damage to functional space ships and satellites. Thus detection of space debris and prediction of their orbital paths are essential for today’s operation of space missions. The talk shows the Python-based infrastructures BACARDI for gathering and storing space debris data from sensors and Skynet for high-throughput data processing and orbital collision detection.”
The big memory “Blacklight” system at the Pittsburgh Supercomputer Center will be retired on Aug 15 to make way for the new “Bridges” supercomputer. “Built by HP, Bridges will feature multiple nodes with as much as 12 terabytes each of shared memory, equivalent to unifying the RAM in 1,536 high-end notebook computers. This will enable it to handle the largest memory-intensive problems in important research areas such as genome sequence assembly, machine learning and cybersecurity.”
In this Intel Chip Chat podcast, Bill Mannel from HP stops by to discuss the growing demand for high performance computing solutions and the innovative use of HPC to manage big data. He highlights an alliance between Intel and HP that will accelerate HPC and big data solutions tailored to meet the latest needs and workloads of HPC customers, leading with customized vertical solutions.
Today Fraunhofer ITWM and ThinkParQ announced a new major release of the BeeGFS parallel file system. Now available as a free download, BeeGFS version 2015.03-r1 comes with enterprise features including built-in storage server high-availability based on replication with self-healing, support for access control lists (ACLs), and adds a number of performance and usability improvements.
Today Colfax International announced free online workshops on parallel programming and optimization for Intel architecture, including Intel Xeon processors and Intel Xeon Phi coprocessors. “The Hands-on Workshop (HOW) series will introduce best practices to researchers and developers to efficiently extract maximum performance out of modern parallel processors, achieving shorter time to solution, higher research productivity, and future-proof design.”
The Embree kernel approach, using the Intel Xeon Phi coprocessor is applicable to many situations. The implementation can be tuned to the hardware available, using different vector widths and workloads per ray. With a flexible toolkit for rendering, applications can take advantage of the latest hardware acceleration to achieve maximum performance.