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Ingram Micro Artizen Soutions for HPC

rick

In this video from the GPU Technology Conference, Rick Young from Ingram Micro describes the company’s Artizen HPC solutions. “Available now to channel partners in the U.S., the distributor’s new and exclusive line of Artizen High Performance Computing (HPC) offerings include turnkey high performance servers, ultimate workstations, and customizable supercomputing clusters, as well as computing integration and software installation services.”

Monitoring and Management Interfaces for GPU Devices in a Cluster Environment

sadaf

“This presentation will provide an overview of the Nvidia Tesla Deployment Kit (TDK) from a user and a system administrator point of view. TDL contains Nvidia Management Library (NVML) and nvidia-healthmon–a tool for detecting and troubleshooting known GPU issues in a cluster environment. Usage models within a cluster environment will be presented along with a discussion on how existing resource management tools can be extended to improve allocation and accounting of GPU resources.”

Video: The OpenPower Initiative

gilad

“The OpenPOWER Foundation intends to build advanced server, networking, storage and acceleration technology aimed at delivering more choice, control and flexibility to developers of next-generation, hyperscale and cloud data centers.”

Video: ClusterStor Update

torben

“HPC storage solutions and futures continue to evolve as growth and performance requirements permeate every HPC market segment. Torben discusses these challenges and how the company’s storage solutions are addressing these shifting needs with new developments around disk drives, RAID, CIFS, security, small file handling, and other related technologies.”

insideHPC Performance Guru Looks at Nvidia’s New NVLink

Bill D'Amico

“For NVLink to have its highest value it must function properly with unified memory. That means that the Memory Management Units in the CPUs have to be aware of NVLink DMA operations and update appropriate VM structures. The operating system needs to know when memory pages have been altered via NVLink DMA – and this can’t be solely the responsibility of the drivers. Tool developers also need to know details so that MPI or other communications protocols can make use of the new interconnect.”

Managing the GPUs of Your Cluster in a Flexible Way with rCUDA

rcuda

In this talk, we introduce the rCUDA remote GPU virtualization framework, which has been shown to be the only one that supports the most recent CUDA versions, in addition to leverage the InfiniBand interconnect for the sake of performance. Furthermore, we also present the last developments within this framework, related with the use of low-power processors, enhanced job schedulers, and virtual machine environments.”

DK Panda Presents: Programming Models for Exascale Systems

panda

“This talk will focus on programming models and their designs for upcoming exascale systems with millions of processors and accelerators. Current status and future trends of MPI and PGAS (UPC and OpenSHMEM) programming models will be presented. We will discuss challenges in designing runtime environments for these programming models by taking into account support for multi-core, high-performance networks, GPGPUs, Intel MIC, scalable collectives (multi-core-aware, topology-aware, and power-aware), non-blocking collectives using Offload framework, one-sided RMA operations, schemes and architectures for fault-tolerance/fault-resilience.”

Project CoolEmAll Collaboration Delivers Next-Gen Datacenter Management Tools

coolemallUVP

Today European Commission funded CoolEmAll project announced significant progress on a range of holistic datacenter management technologies thanks to a collaboration with Future Facilities and TSO Logic.

RSC PetaStream Delivers 1.2 PFLOPS Per Rack with Xeon Phi

RSC PetaStream_small_3

Today Russian supercomputer vendor RSC Group announced record single-rack performance with their last RSC PetaStream ultra-high density system.

High Performance Computing at CSCS

Schulthess

“With around 3.2 billion computer operations (3.2 gigaflops) per watt, the combination of GPUs CPUs makes “Piz Daint” one of the world’s most energy-­efficient supercomputers in the petaflop performance class.”