Drop Testing with Dell, Intel and Altair

Impact analysis or drop testing is one of the most important stages of product design and development, and software that can simulate this testing accurately yields dramatic cost and time-to-market benefits for manufacturers. Dell, Intel and Altair have collaborated to analyze a virtual drop test solution with integrated simulation and optimization analysis, delivering proven gains in speed and accuracy. With this solution, engineers can explore more design alternatives

PRIMEHPC FX10 Fujitsu Supercomputer

Fujitsu developed the first Japanese supercomputer in 1977. In the thirty-plus years since then, we have been leading the development of supercomputers with the application of advanced technologies. We now introduce the PRIMEHPC FX10, a state-of-the-art supercomputer that makes the petascale computing achieved by the “K computer”(*1) more accessible.

GPU Clusters for High-Performance Computing

Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster […]

Terra: High-Performance Computing

High-performance computing applications, such as auto-tuners and domain-specific languages, rely on generative programming techniques to achieve high performance and portability. However, these systems are often implemented in multiple disparate languages and perform code generation in a separate process from program execution, making certain optimizations difficult to engineer. We leverage a popular scripting language, Lua, to stage the execution of a novel low-level language, Terra. Users can implement optimizations in the high-level language, and use built-in constructs to generate and execute high-performance code. To simplify meta- programming, Lua and Terra share the same lexical environment, but, to ensure performance, this code can execute independently of Lua’s runtime. We evaluate our design by reimplementing existing multi-language systems entirely in Terra. Our Terra-based auto- tuner for BLAS routines performs within 20% of ATLAS, and our DSL for stencil computations runs 2.3x faster than hand-written C.

Component Architecture for Scientific HPC

The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance com- puting. In the scientific computing context, component models also promote collaboration using independently developed software, thereby allowing particular individu- als or groups to focus on the aspects of greatest interest to them. The CCA supports parallel and distributed computing as well as local high-performance connections between components in a language-independent manner. The design places minimal requirements on components

High Performance Computing from Fujitsu

The developments that have taken place in high performance computing (HPC) over the decades can be described quite simply: Without Fujitsu research, the development of the supercomputer would have been quite different.

Architectural Properties for HPC

High Performance computer systems can be regarded as the most powerful and flexible research instruments today. They are employed to model phenomena in fields so various as climatology, quantum chemistry, computational medicine, High-Energy Physics and many, many other areas.

Security at Big Data and HPC Scale

This paper is the first to explore a recent breakthrough with the introduction of the High Performance Computing (HPC) industry’s first Intelligence Community Directive (ICD) 503 (DCID 6/3 PL4) certified compliant and secure scale-out parallel file system solution, Seagate ClusterStorTM Secure Data Appliance, which is designed to address government and business enterprise need for collaborative and secure information sharing within a Multi-Level Security (MLS) framework at Big Data and HPC Scale.

Algorithm Analysis for High Performance Computing

The Tarari® High-Performance Computing Processor accelerates the execution of complex algorithms used in high-performance computing (HPC) applications. The Processor allows high- performance computing users in industry, government and education to accelerate complex and compute-intensive applications

HPC Gateway FUJITSU Software HPC Cluster Suite

Engineers, analysts and researchers using HPC systems face their own challenges in optimizing designs, interpreting data and discovery. Dealing with everyday complications of working with HPC systems, infrastructure and tools should not be one of them. Enabling HPC Simplicity means capturing knowledge and expertise within a solution that broadens HPC access and eases work, even for experienced users. This white paper describes just some of the ways the HPC Gateway offers this simplicity.