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Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

上次更新时间:2017 年 11 月 22 日

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is...

Winners Announced in the Modern Code Developer Challenge

上次更新时间:2017 年 11 月 21 日

CERN openlab and Intel are pleased to announce the winners of the Intel® Modern Code Developer Challenge! The announcement was made today at ‘SC17’, the International Conference for High Performance Computing, Networking, Storage, and Analysis, in Denver, Colorado, USA. Two winners were selected...

Doctor Fortran in "Eighteen is the new Fifteen"

When the international Fortran standards committee (WG5) met in 2012 to set a schedule for the next standard revision, the informal name of the standard was set to be "Fortran 2015". The schedule changed over the subsequent years, but the name stayed the same. The current schedule has the standard...

2017 Modern Code Developer Challenge

2017 Modern Code Developer Challenge Contestants Innovate on HPC, AI & IOT Projects

上次更新时间:2017 年 11 月 15 日视频时长:2 分钟

As part of its ongoing support of the world-wide student developer community and advancement of science, Intel has partnered with CERN through CERN openlab to sponsor the Intel® Modern Code Developer Challenge.

Winners Announced! Highly Talented CERN Student Researchers Innovate on HPC, AI & IOT in the Modern Code Developer Challenge

上次更新时间:2017 年 11 月 15 日

CERN openlab and Intel are pleased to announce the winners of the Intel® Modern Code Developer Challenge! The announcement was made today at ‘SC17’, the International Conference for High Performance Computing, Networking, Storage, and Analysis, in Denver, Colorado, USA. Two winners were selected...

November Modern Code

The Best of Modern Code | November

Fast is our theme for November! Read about fast simulation and even faster hardware and software performance this month.

Proton Collisions

Top Ten Intel Software Developer Stories November

Announcing new IoT developer kits this month along with tips on which processor is right for your VR projects.

Recipe: Building NAMD on Intel® Xeon® and Intel® Xeon Phi™ Processors for Multi-node Runs

上次更新时间:2017 年 11 月 7 日

This recipe describes a step-by-step process for getting, building, and running NAMD (scalable molecular dynamics code) on the Intel® Xeon Phi™ processor and Intel® Xeon® processor family to achieve better performance.

Recipe: Building NAMD on Intel® Xeon® and Intel® Xeon Phi™ Processors on a Single Node

上次更新时间:2017 年 11 月 6 日

This recipe describes a step-by-step process for getting, building, and running NAMD (scalable molecular dynamics code) on the Intel® Xeon Phi™ processor and Intel® Xeon® processor E5 family to achieve better performance.

Monte Carlo European Option Pricing for Intel® Xeon® Processors

This is an update of the article Monte Carlo European Option Pricing with RNG Interface for Intel® Xeon Phi™ Coprocessor, which covered the technical details of the Monte Carlo methods and the random number generation with Intel® Math Kernel Library (Intel® MKL). In this article, we discuss the...

Intel® Xeon® Scalable Processors Deliver Performance Boosts for IT and Developers

Ongoing improvements to Aerospike* software and Intel® architecture deliver substantial performance gains with the latest generation of the database and Intel® Xeon® Scalable processors

Python* Scalability in Production Environments

上次更新时间:2017 年 10 月 27 日视频时长:48 分钟

Avoid rewriting Python* applications using tools and optimizations from Intel.

Reshaping Core Genomics Software Tools for the Manycore Era

上次更新时间:2017 年 10 月 27 日视频时长:48 分钟

This session provides an overview of the results from a multiyear collaboration with engineers at Intel to revamp Bowtie and Bowtie 2 (and another related tool called HISAT) to make effective use of all the processor cores on modern Intel® CPUs.

Best Practices and Performance Studies for High-Performance Computing Clusters

Best Practices and Performance Studies for High-Performance Computing Clusters

上次更新时间:2017 年 10 月 27 日视频时长:56 分钟

Maximize application performance in high-performance computing (HPC) workloads using key tunable elements.

Realizing Multi-Hit Ray Tracing in Embree and OSPRay

Realizing Multi-Hit Ray Tracing in Embree and OSPRay

上次更新时间:2017 年 10 月 26 日视频时长:54 分钟

This session discusses multi-hit ray traversal—a class of ray traversal algorithms that finds one or more primitives intersected by a ray and ordered by point of intersection.

Accelerate Big Data Processing with High-Performance Computing Technologies

Accelerate Big Data Processing with High-Performance Computing Technologies

上次更新时间:2017 年 10 月 26 日视频时长:52 分钟

Learn about opportunities and challenges for accelerating big data middleware on modern high-performance computing (HPC) clusters by exploiting HPC technologies.

Massively Parallel K-Nearest Neighbor Computation on Distributed Architectures

上次更新时间:2017 年 10 月 26 日视频时长:49 分钟

This session discuss the implementation and performance of the K-nearest neighbor (KNN) computation on a distributed architecture using the Intel® Xeon Phi™ processor

SDVIs and In-Situ Visualization on TACC's Stampede

SDVis and In-Situ Visualization on Texas Advanced Computing Center's (TACC) Stampede

上次更新时间:2017 年 10 月 26 日视频时长:1 小时 19 分钟

This talk presents recent work in high-fidelity visualization using the OSPRay ray tracing framework on the Texas Advanced Computing Center's (TACC) local and remote visualization systems.

Data Analytics, Machine Learning, and High-Performance Computing in Today’s Changing Application Environment

上次更新时间:2017 年 10 月 25 日视频时长:51 分钟

This session describes what solutions companies want, how these companies may differ from the more “classical” consumers of machine learning and analytics, and the rising challenges that current and future high-performance computing (HPC) development may have to cope with.

Accelerate Machine Learning Software on Intel® Architecture

上次更新时间:2017 年 10 月 25 日视频时长:28 分钟

This session presents performance data for deep learning training for image recognition that achieves greater than 24 times speedup performance with a single Intel® Xeon Phi™ processor 7250 when compared to Caffe*. In addition, we present performance data that shows training time is further reduced by 40 times the speedup with a 128-node Intel® Xeon Phi™ processor cluster over Intel® Omni-Path Architecture (Intel® OPA).

Performance Optimization of Deep Learning Frameworks Caffe* and TensorFlow* for the Intel® Xeon Phi™ Product Family

上次更新时间:2017 年 10 月 25 日视频时长:52 分钟

In this talk, we analyze the performance characteristics of Caffe* and TensorFlow* on an Intel® Xeon Phi™ processor x200.

The Modern Code Developer Challenge

As part of its ongoing support of the world-wide student developer community and advancement of science, Intel has partnered with CERN through CERN openlab to sponsor the Intel® Modern Code Developer Challenge. The goal for Intel is to give budding developers the opportunity to use modern...

Michelle Chuaprasert

Students at the Intel® HPC Developer Conference

Join Michelle Chuaprasert at “Meet the Experts” on Saturday 5:30-7:30 p.m. at the Intel® HPC Developer Conference. We’ll talk about our on-going support of the student developer community with conferences such as this as well as programs, learning and networking opportunities and more.

Deep Learning Training and Testing on a Single Node Intel® Xeon® Scalable Processor System Using Intel® Optimized Caffe*

I. Introduction This document provides step-by-step instructions on how to train and test your trained single node Intel® Xeon® Scalable processor platform system, using an Intel® distribution of Caffe* framework for image recognition datasets (CIFAR10, MNIST). This document provides beginner...

Intel® Parallel Computing Center at Argonne Leadership Computing Facility - Argonne National Laboratory

上次更新时间:2017 年 10 月 20 日

Principal Investigators: Anouar Benali obtained a Ph.D. in Theoretical Physical Chemistry from the University of Toulouse (France) in 2010. He is an Assistant Computational Scientist at the Argonne Leadership Computing Facility and a fellow of the Computation Institute at the University of...

Intel® Parallel Computing Center at Computer Network Information Center of Chinese Academy of Sciences

上次更新时间:2017 年 10 月 20 日

Principal Investigators: Xuebin Chi is currently Professor in the Computing Scientific Application Center, Computer Network Information Center, Chinese Academy of Sciences. Dr. Chi is Director of Supercomputing Center & Vice Director of CNIC. His research focuses on Computational...

Intel® Parallel Computing Center at CINECA

Principal Investigator: Dr. Sanzio Bassini, Dr. PhD Carlo Cavazzoni CINECA is a nonprofit Consortium, made up of Italian universities and Institutions - it hosts one of the largest public Italian computing centres, with EMEA and worldwide visibility and influence. CINECA has high expertise in...

Fujitsu Offers Remote Access to HPC Clusters

上次更新时间:2017 年 10 月 19 日视频时长:2 分钟

The Fujitsu Remote Access Program* offers an opportunity to run HPC workloads on a high-performance cluster

Rescale SCALEX* Offers SAAS Platform for HPC-Applications

上次更新时间:2017 年 10 月 19 日视频时长:2 分钟

Rescale ScaleX* is an innovative web-based environment enabling HPC applications to run on the latest Intel technology.

DKRZ German Weather Forecasting Service Visualization Demo

上次更新时间:2017 年 10 月 17 日视频时长:2 分钟

Software on Intel® Xeon® processors doing high quality rendering for visual data representation.

Intel® Xeon Phi™ Processor Applications

This presentation is an expanding collection of Intel® Xeon Phi™ processor application showcase and proof points that demonstrate improved software performance for key applications and benchmarks in key business segments, such as Manufacturing, Life Sciences, Finance, Energy and more.

Best of Modern Code October

The Best of Modern Code | October

Don't miss your chance--Register now for the Intel® HPC Developer Conference happening next month. This month you can read about cells in the cloud, future-proofing your code and mode collapse in GANS.

October Top Ten

Top Ten Intel Software Developer Stories | October

Learn to build a face access control solution, get horrified in a haunted high school, and be sure to register for the Intel® HPC Developer Conference this month.

Improve Performance Using Vectorization and Intel® Xeon® Scalable Processors

Introduction Modern CPUs include different levels of parallelism. High-performance software needs to take advantage of all opportunities for parallelism in order to fully benefit from modern hardware. These opportunities include vectorization, multithreading, memory optimization, and more. The...

Writing own-vector algorithms in OpenJDK* for faster performance

In this paper, we discuss insights into Vector API, which is being developed as part of OpenJDK* under Project Panama. First, we’ll go over some Vector API fundamentals, basic functionalities, and tips. We’ll then show you some code samples of vector algorithms for standard Machine Learning...

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