七月

开发人员更新

 

本月我们将重点介绍在 E3 2017 上展示的一些项目,包括全新的英特尔® 酷睿™ i9 至尊版处理器、崭新的多玩家虚拟现实 eSport 游戏、Echo Arena 等。

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Opening Remarks with Joseph Curley

最后更新日期:2017 年 7 月 25 日视频长度:46分钟

High-performance computing (HPC) DevCon 2016 opening remarks with Joseph Curley

Webinar 2, Section 3: Visualizing Data

最后更新日期:2017 年 7 月 25 日视频长度:9分钟

Learn how to create a data visualization dashboard using Node-RED*.

Webinar 2, Section 2: Storing Data on a Database

最后更新日期:2017 年 7 月 25 日视频长度:12分钟

See how to run a database on an Intel® IoT Gateway for storing sensor data.

Keynote: Going Where Neuroscience and Computer Science Have Not Gone Before

最后更新日期:2017 年 7 月 25 日视频长度:48分钟

Princeton and Intel Labs explore recent advances and opportunities for the analysis of human brain imaging data.

Panel Discussion: Is Your Code Ready for the Future?

最后更新日期:2017 年 7 月 25 日视频长度:54分钟

How to prepare for new computational models, changes and tradeoffs, and the key challenges in the next five years.

Closing Remarks with Richard Gerber

最后更新日期:2017 年 7 月 25 日视频长度:19分钟

Closing remarks with Richard Gerber

Webinar 2, Section 1: Automation at the Edge

最后更新日期:2017 年 7 月 25 日视频长度:24分钟

See an example of how Intel® IoT Gateway can be used in low-latency edge computations.

IoT Developer Show: July 2017

最后更新日期:2017 年 7 月 24 日视频长度:21分钟

Stay on top of the newest IoT trends. This month: Robotic arms in IoT.

Part 1: Introduction to IoT

最后更新日期:2017 年 7 月 19 日视频长度:15分钟

Learn what IoT is and how the Intel® IoT Developer Kit plays a role in development.

Part 2: Programming using Node-RED*

最后更新日期:2017 年 7 月 19 日视频长度:16分钟

Understand how to use the Node-RED* interface to add sensors and send data to the Amazon Web Services* (AWS) cloud.

Part 3: Programming using Node.js*

最后更新日期:2017 年 7 月 19 日视频长度:18分钟

Implement MQTT to publish temperature data using Node.js*.

How Intel® Core™ i7 CPUs Make VR Games More Immersive

最后更新日期:2017 年 7 月 19 日视频长度:2分钟

Take a quick look at how the Intel Core CPUs power the best VR experiences, making VR games more immersive and realistic!

IoT Framework

Device Management with Intel® IoT Technology & Amazon Web Services* (AWS) Device Shadows

最后更新日期:2017 年 7 月 18 日视频长度:5分钟

In this short video, we will explain and demonstrate using AWS Shadows to manage the device state of an Intel NUC Gateway.

Optimize a Loop Centric Application Using Intel® Threading Building Blocks (Intel® TBB) for Linux*

最后更新日期:2017 年 7 月 17 日视频长度:1分钟

Explore how to increase performance of a Taylor series algorithm using Intel Threading Building Blocks (Intel TBB).

Optimizing Dijkstra's Algorithm Using the Intel® C++ Compiler

最后更新日期:2017 年 7 月 17 日视频长度:1分钟

Explore how to increase performance of this classic graph algorithm using thread-based and explicit vector programming technique. Optimize the C++ sample of Dijkstra’s shortest path graph algorithm using the Intel® C++ Compiler.

Optimize Matrix Operations Using the Intel® Math Kernel Library (Intel® MKL) for Linux*

最后更新日期:2017 年 7 月 17 日视频长度:1分钟

Shows Intel® Math Kernel Library (Intel® MKL) performance by comparing a triply nested loop to a DGEMM routine.

Unlock Composable Parallelism in Python

最后更新日期:2017 年 7 月 17 日视频长度:3分钟

Get high performance Python at your fingertips with the free Intel® Distribution for Python, and access easy and safe composable parallelism and efficient thread scheduling with new Python modules. As the number of cores in central processing units continues to grow, numeric libraries such as NumPy, SciPy, Dask, and Numba continue to exploit multi-threading to provide higher throughput for their customers. When these libraries are used in a single Python application, unorchestrated use of threads can lead to a significant overhead resulting in inefficient use of the cores present in the system.

In this video, Anton will address limitations of existing approaches, and introduce new method to compose parallelism that supports both multi-threading and multi-processing types of parallelism in Python.

Virtualized H.265 Solution Powered by Intel® Arria® FPGAs

最后更新日期:2017 年 7 月 14 日视频长度:2分钟

Virtualized H.265 Solution Powered by Intel® Arria® FPGAs

Virtualized Studio Ecosystem Powered by Intel® Arria® FPGAs

最后更新日期:2017 年 7 月 14 日视频长度:1分钟

Virtualized Studio Ecosystem Powered by Intel® Arria® FPGAs

Ittiam HDR10 HEVC Encoder* + Intel® Xeon® Processor E3 Family

最后更新日期:2017 年 7 月 14 日视频长度:2分钟

Ittiam HDR10 HEVC Encoder + Intel® Xeon® Processor E3 Family

Cloud-Based End-to-End Video Delivery

最后更新日期:2017 年 7 月 14 日视频长度:3分钟

Cloud-Based End-to-End Video Delivery

What is Persistent Memory: Persistent Memory Programming Series

最后更新日期:2017 年 7 月 13 日视频长度:3分钟

Intel’s Andy Rudoff describes persistent memory and delves into why there’s so much activity around it in the industry lately. Andy describes how persistent memory is connected to a computer platform, how it performs, and what are some of the challenges for programmers. Andy is a Non-volatile Memory Software Architect and a member of the SNIA (Storage Networking Industry Association) Non-volatile Memory Programming Technical Work Group.

The NVM Programming Model: Persistent Memory Programming Series

最后更新日期:2017 年 7 月 13 日视频长度:4分钟

Intel’s Andy Rudoff describes persistent memory and delves into why there’s so much activity around it in the industry lately. Andy describes how persistent memory is connected to a computer platform, how it performs, and what are some of the challenges for programmers. Andy is a Non-volatile Memory Software Architect and a member of the SNIA (Storage Networking Industry Association) Non-volatile Memory Programming Technical Work Group

Thinking Transactionally: Persistent Memory Programming Series

最后更新日期:2017 年 7 月 13 日视频长度:2分钟

Andy Rudoff is a Non-volatile Memory Software Architect at Intel Corporation and a member of the SNIA (Storage Networking Industry Association) Non-volatile Memory Programming Technical Work Group. In this video, Andy describes a persistent memory-resident queue example, and describes the need for transactional updates to those data structures.

A C++ Example: Persistent Memory Programming Series

最后更新日期:2017 年 7 月 13 日视频长度:3分钟

Andy Rudoff is a Non-volatile Memory Software Architect at Intel Corporation and a member of the SNIA (Storage Networking Industry Association) Non-volatile Memory Programming Technical Work Group. In this video, Andy walks through a C++ example that implements a persistent memory-resident queue. The “libpmemobj” library is used to create transactional updates to the queue. Andy describes the code first and then runs the example program (taken from the NVM Libraries GitHub repo) and shows how it works.

Intro to the NVM Libraries: Persistent Memory Programming Series

最后更新日期:2017 年 7 月 13 日视频长度:3分钟

Intel’s Andy Rudoff describes persistent memory and delves into why there’s so much activity around it in the industry lately. Andy describes how persistent memory is connected to a computer platform, how it performs, and what are some of the challenges for programmers. Andy is a Non-volatile Memory Software Architect and a member of the SNIA (Storage Networking Industry Association) Non-volatile Memory Programming Technical Work Group

Software Tools for Media Analytics

最后更新日期:2017 年 7 月 13 日视频长度:2分钟

Intel® Software Tools for Media Analytics

Vantrix 360* Live VR Broadcast Powered by Artesyn and Intel

最后更新日期:2017 年 7 月 13 日视频长度:3分钟

Vantrix 360° Live VR Broadcast Powered by Artesyn and Intel

360° 8K Video Powered by Intel Workstations

最后更新日期:2017 年 7 月 13 日视频长度:2分钟

360° 8K Video Powered By Intel Workstations

Identify Performance Hotspots Using Intel® VTune™ Amplifier

最后更新日期:2017 年 7 月 10 日视频长度:5分钟

As a first step, use the Intel® VTune™ Amplifier to identify the functions, loops, and files that have the biggest impact on your application’s performance.

SWIFT: Task-based Parallelism, Asynchronous Communication, and Vectorization for HPC Performance

最后更新日期:2017 年 7 月 7 日视频长度:40分钟

SWIFT: Task-based Parallelism, Asynchronous Communication, and Vectorization for HPC Performance

Simplify System Software Stack Development and Maintenance

最后更新日期:2017 年 7 月 6 日视频长度:55分钟

This session demonstrates hierarchical structure employed to track dependencies across multiple operating systems, message passing interface (MPI), and compiler families.

The Latest on Open Fabrics Interface (OFI): The New Scalable Fabric Software Layer for Supercomputers

最后更新日期:2017 年 7 月 6 日视频长度:37分钟

This session covers using the Intel® MPI Library to improve the performance of parallel applications on high-performance computing (HPC) systems, and explains the capabilities offered by the library.

Challenges for Deploying a High-Performance Computing Application to the Cloud

最后更新日期:2017 年 7 月 6 日视频长度:39分钟

Learn how to use Rescale* tools to deploy open-source software to various global data centers. Extend this process to a continuous integration framework.

Hetergeneous Compute with Standards Based OFI/MPI/OpenMP Programming

最后更新日期:2017 年 7 月 6 日视频长度:47分钟

Discover, extend, and modernize your current development approach for hetergeneous compute with standards-based OpenFabrics Interfaces* (OFI), message passing interface (MPI), and OpenMP* programming methods on Intel® Xeon Phi™ processors.

Next Generation MPICH: What to Expect - Lightweight Communication and More

最后更新日期:2017 年 7 月 6 日视频长度:49分钟

This session discusses the current development activity with MPICH, including a close collaboration with teams at Intel.

AI News: July 2017

最后更新日期:2017 年 7 月 6 日视频长度:1分钟

In this episode of AI News you'll learn a little bit about how to Install the neon Framework on Ubuntu, Intel’s new role in joining the Partnership on AI, and about Intel and Facebook collaborating to boost Caffe 2 performance. Make sure to check out the resources for more information!

Overview of Intel® Omni-Path Architecture

最后更新日期:2017 年 7 月 6 日视频长度:44分钟

This session provides an overview of Intel® Omni-Path Architecture (Intel® OPA).

Move Message Passing Interface Applications to the Next Level

最后更新日期:2017 年 7 月 6 日视频长度:48分钟

Explore techniques to reduce and remove message passing interface (MPI) parallelization costs. Get practical examples and examples of performance improvements.

Intel® Graphics Performance Analyzers 2017 R2 Release

最后更新日期:2017 年 6 月 30 日视频长度:2分钟

Intel® GPA provides tools for graphics analysis and optimization that can help you make games and other graphics-intensive applications run even faster. The tools support the platforms based on the latest generations of Intel Core™ and Intel Atom™ processor families, for applications developed for Windows, Android, or Ubuntu* OS.

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