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

Published on November 6, 2017, updated January 8, 2018

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.

2017

The Best of 2017 Top Ten Developer Stories

Look back on some of last year's most popular articles, announcements and innovations from the Intel® Software Developer Zone.

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

Published on November 7, 2017, updated January 5, 2018

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.

Python logo

Analytics Speed with Ease: Visual Bag-Of-Words in Python* with Intel® Data Analytics Acceleration Library (Intel® DAAL) High Level API

This is a Companion to the Original Article: Visual Bag-Of-Words in Python: Speed Advantage of Intel® DAAL over Scikit-learn*

Introduction

In the companion article, we concluded that Intel® Data Analytics Acceleration Library (DAAL) efficiently utilizes all...

Clustering SIFT Features Find the Best

Visual Bag-Of-Words in Python*: Speed Advantage of Intel® Data Analytics Acceleration Library (Intel® DAAL) over Scikit-learn*

Introduction

Image recognition with machine learning techniques has achieved significant growth due to advances in recent years in both algorithmic efficiency and hardware performance. Even with these advances, image pre-processing of raw images remains a critical step, especially in larger...

December Modern Code

The Best of Modern Code December

This month we find out who won the Intel® Modern Code Challenge! We also discover the enhanced performance of the new Intel® Xeon® platform and learn more about remote access for HPC clusters.

Am I Becoming Obsolete?

Published on November 27, 2017, updated December 13, 2017By Clay B.

It has occurred to me that with all the new technology advances over the last five years that my programming skill set may be becoming obsolete. There has been much more emphasis on web page design than in, say, computational fluid dynamics; more cycles and (electronic) ink being spent on...

Configure Virtual Fabrics in Intel® Omni-Path Architecture

Introduction

Virtual Fabrics (vFabrics)* allow multiple network applications running on the same fabric at the same time with limited interference. Using vFabrics, a physical fabric is divided into many overlapping virtual fabrics, which keep network applications separate even though they...

Best Known Methods: Firewall Blocks MPI Communication among Nodes

This article shares three methods you can use when dealing with the firewall blocking the Message Passing Interface (MPI) communication among many machines. For example, when running an MPI program between two machines, you might see a communication error like this:

[proxy:0:1@knl-sb0]...

Video Transcoding on Intel® Xeon® Scalable Processor with FFmpeg*

Abstract

Video streaming is becoming a common practice across many different fields and companies. Software vendors have to deliver video streams efficiently and quickly, while maintaining a high level of content quality. FFmpeg*1 is widely used to meet these requirements for video and audio...

December Icon

Top Ten Intel Software Developer Stories December

This month we introduce our newest VR newsletter deVR Beat; link to the keynotes from the Intel® HPC Developer Conference,meet the winners of the Intel® Modern Code Challenge and more.

Intel® Distribution for Python* versus Non-Optimized Python: Breast Cancer Classification

Published on December 6, 2017

Abstract

This case study compares the performance of Intel® Distribution for Python* to that of non-optimized Python using a breast cancer classification. This comparison was done using machine learning algorithms from the scikit-learn* package in Python.

Introduction

Cancer refers to...

Winners Announced in the Modern Code Developer Challenge

Published on November 21, 2017

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...

How to Use Intel® Debugger Extension for WinDbg*

ABSTRACT

Intel® System Debugger is a debugging tool kit which is part of Intel® System Studio. ISD is composed by tree debugging tools: System Debug, System Trace, and Intel® Debug Extensions for WinDbg* (Windows* only). This WinDbg* extension is an extension for the Microsoft* WinDbg*. The...

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

Last updated: November 15, 2017Video length: 2 min

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.

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.

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

Best Practices and Performance Studies for High-Performance Computing Clusters

Best Practices and Performance Studies for High-Performance Computing Clusters

Last updated: October 27, 2017Video length: 56 min

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

Python* Scalability in Production Environments

Last updated: October 27, 2017Video length: 48 min

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

Reshaping Core Genomics Software Tools for the Manycore Era

Last updated: October 27, 2017Video length: 48 min

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.

The State of High-Performance Computing in the Open-Source R Ecosystem

Last updated: October 27, 2017Video length: 48 min

A history and current use of the R language on high-performance computing (HPC) resources.

Massively Parallel K-Nearest Neighbor Computation on Distributed Architectures

Last updated: October 26, 2017Video length: 49 min

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

Accelerate Big Data Processing with High-Performance Computing Technologies

Accelerate Big Data Processing with High-Performance Computing Technologies

Last updated: October 26, 2017Video length: 52 min

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

SDVIs and In-Situ Visualization on TACC's Stampede

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

Last updated: October 26, 2017Video length: 1 hr 19 min

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.

Realizing Multi-Hit Ray Tracing in Embree and OSPRay

Realizing Multi-Hit Ray Tracing in Embree and OSPRay

Last updated: October 26, 2017Video length: 54 min

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 Machine Learning Software on Intel® Architecture

Last updated: October 25, 2017Video length: 28 min

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).

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

Last updated: October 25, 2017Video length: 51 min

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.

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

Last updated: October 25, 2017Video length: 52 min

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.

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...

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

Published on April 7, 2015, updated October 20, 2017

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...

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