Because of the complexity involved, the length of the simulation period, and the amounts of data generated, weather prediction and climate modeling on a global basis requires some of the most powerful computers in the world. The models incorporate topography, winds, temperatures, radiation, gas emission, cloud forming, land and sea ice, vegetation, and more. However, although weather prediction and climate modeling make use of a common numerical methods, the items they compute differ.
ORNL researcher Sparsh Mittal has authored a new paper entitled “A Survey Of Techniques for Architecting and Managing Asymmetric Multicore Processors.” Now accepted for ACM Computing Surveys 2015, the document reviews nearly 125 papers.
At insideHPC, are very pleased to publish the Print ‘n Fly Guide to SC15 in Austin. We designed this Guide to be an in-flight magazine custom tailored for your journey to SC15 — the world’s largest gathering of high performance computing professionals.
Today the Council on Competitiveness published a new report from the National Digital Engineering Manufacturing Consortium (NDEMC). Entitled “Modeling, Simulation and Analysis, and High Performance Computing: Force Multiplier for American Innovation,” the 88 age report explores how HPC transforms manufacturing.
Can 3D-stacking technology topple the long-standing “memory wall” that’s been holding back HPC application performance? A new paper from the Barcelona Supercomputing Center written in collaboration with experts from Chalmers University and Lawrence Livermore National Laboratory concludes that it will take more than just the simple replacement of conventional DIMMs with 3D-stacked devices.
“Intersect360 Research’s annual HPC market model and forecast shows modest growth in 2014. Despite ongoing weakness in the public sector, commercial usage of HPC drove the market to $29.4 billion in 2014, a year-over-year growth of 2.8%. As applications for high-performance technologies expand, the market is projected to grow at a compound annual rate of 4.2% through 2019.”
The UberCloud has published their 3rd Compendium of HPC Cloud Case Studies. Like its predecessors in 2013 and 2014, this year’s edition draws from a select group of projects undertaken as part of the UberCloud Experiment. “Our efforts are paying off. Based on the experience gained over the past several years, we have now increased the success rate of the individual experiments to almost 100%, as compared to 40% in 2013 and 60% in 2014.”
Today DDN announced record performance on the Securities Technology Analysis Center (STAC) benchmark. Using the company’s EXAScaler storage solution, DDN set new public records for multiple workload types and sizes, including large and small workloads as well as I/O and compute-intensive workloads.
Colfax Research has published a new whitepaper entitled: Multi-Threading and Parallel Reduction. As part 1 of a 3-part educational series, the paper authored by Ryo Asai and Andrey Vladimirov focuses on optimization of applications for the Intel Xeon processors and Intel Xeon Phi coprocessors.
A new paper from ORNL’s Sparsh Mittal and Jeffrey Vetter seeks to change the mindset of researchers using GPUs. Entitled, “A Survey of CPU-GPU Heterogeneous Computing Techniques,” the paper contends that merely offloading computational tasks to GPUs is not optimal, instead, using both CPU and GPU can lead to potentially higher speedup.