This document discusses analyzing application performance using Intel VTune Amplifier XE. It begins with an introduction to Intel VTune Amplifier XE and outlines its two main data collection methods: the software collector and hardware collector. It then provides a review of CPU microarchitecture basics like the fetch-decode-execute pipeline and front-end/back-end processing. The document defines key concepts like allocation, retirement, and "pipeline slots" to explain how instructions move through the various stages of the processor pipeline.
The document discusses Intel tools for optimizing high performance computing (HPC) systems. It provides an overview of Intel Parallel Studio XE and Cluster Studio XE 2013 and what's new in the 2015 beta version. Specifically, it highlights updated support for latest Intel processors and coprocessors in the compilers, libraries, and tools. It also summarizes new features in the Intel C++ and Fortran Compiler, Intel Math Kernel Library, and redesigned optimization reports.
Getting the maximum performance in distributed clusters Intel Cluster Studio XEIntel Software Brasil
The document discusses performance tuning methodology for distributed clusters using Intel Trace Analyzer and Collector (ITAC) and Intel VTune Amplifier XE. It provides an overview of the tools' key features and what's new in recent versions. A 3-step methodology is outlined: 1) cluster-level analysis and algorithm tuning, 2) run-time analysis and tuning, and 3) intra-node and single-node analysis. The methodology is demonstrated on a Poisson example using ITAC and VTune Amplifier XE to optimize MPI communications and identify performance issues.
The document discusses the Yocto Project, an open source tool for building custom Linux-based systems. It summarizes that Yocto is used to download source code, apply patches, perform cross-compilation, manage packages, and generate binary packages, Linux images, toolchains, and SDKs. It also advertises upcoming presentations on using Yocto to build systems for Intel Galileo boards and how to accelerate time to market with Yocto Project.
- Intel dominates the TOP500 supercomputer list, powering 427 of the top 500 systems and 111 of the newest systems using Intel Xeon and Xeon Phi processors.
- HPC performance has improved over 15,000x in the past 20 years, with innovations like clusters now enabling top performance to waterfall down to single-socket systems within 6-8 years.
- Knights Landing, the next generation Intel Xeon Phi product, will provide over 3 teraflops of performance in a single package in 2015, using enhanced Intel Atom cores and on-package memory.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/khronos-group-standards-powering-the-future-of-embedded-vision-a-presentation-from-the-khronos-group/
Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit.
Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, the number of accelerators, processors, libraries and compilers in the market is rapidly increasing. Proprietary APIs and formats create a complex industry landscape that can hinder overall market growth.
The Khronos Group’s open standards for accelerating parallel programming play a major role in deploying inferencing and embedded vision applications and include SYCL, OpenVX, NNEF, Vulkan, SPIR, and OpenCL. Trevett provides an up-to-the-minute overview and update on the Khronos embedded vision ecosystem, highlighting the capabilities and benefits of each API, giving viewers insight into which standards may be relevant to their own embedded vision projects, and discussing the future directions of these key industry initiatives.
clCaffe*: Unleashing the Power of Intel Graphics for Deep Learning AccelerationIntel® Software
In this presentation, you will hear a story about how Intel graphics can accelerate deep learning applications. The method is simple and reproducible, with impressive results of up to four times over the original CPU performance. We introduce clCaffe*, an extension of the well-known Caffe* framework with OpenCL™ standard. This OpenCL™ standard enables primitives of the convolutional neural networks (CNN) pipeline to operate on GPU (graphics processing unit), FPGA (field programmable gate array) or any device with OpenCL support. Once set up, Caffe users can seamlessly toggle to clCaffe to take advantage of Intel graphics acceleration. Compared with original CPUs, Intel graphics presents 2.5x speedup (AlexNet classification), or 4.0x (GoogleNet classification) on 5th or 6th generation Intel® Core™ processors. Finally, we give a detailed analysis of clCaffe performance, and identify the lacking components in Intel Graphics software stack that impair its performance in the deep learning support.
What are latest new features that DPDK brings into 2018?Michelle Holley
We will provide an overview of the new features of the latest DPDK release including source code browsing and API listing of top two new features of latest DPDK release. And on top of that, there will be a hands-on lab, on the Intel® microarchitecture servers, to learn how getting started with DPDK will become much simpler and powerful.
Are you ready to work in the Parallel Universe? Rise to the challenge at SC13Intel IT Center
The document discusses optimization on Intel Xeon Phi coprocessors. It begins by comparing the peak performance and architecture of Xeon Phi coprocessors to Xeon processors, noting Xeon Phi has more cores, threads, and vector processing capabilities. It then outlines flexible execution models for running code on Xeon Phi, including offload and native modes. An example is shown of performance improvements from optimizing code for Xeon Phi. Upcoming "Knights Landing" Xeon Phi processors are discussed, which will integrate memory and run code natively.
The document discusses Intel tools for optimizing high performance computing (HPC) systems. It provides an overview of Intel Parallel Studio XE and Cluster Studio XE 2013 and what's new in the 2015 beta version. Specifically, it highlights updated support for latest Intel processors and coprocessors in the compilers, libraries, and tools. It also summarizes new features in the Intel C++ and Fortran Compiler, Intel Math Kernel Library, and redesigned optimization reports.
Getting the maximum performance in distributed clusters Intel Cluster Studio XEIntel Software Brasil
The document discusses performance tuning methodology for distributed clusters using Intel Trace Analyzer and Collector (ITAC) and Intel VTune Amplifier XE. It provides an overview of the tools' key features and what's new in recent versions. A 3-step methodology is outlined: 1) cluster-level analysis and algorithm tuning, 2) run-time analysis and tuning, and 3) intra-node and single-node analysis. The methodology is demonstrated on a Poisson example using ITAC and VTune Amplifier XE to optimize MPI communications and identify performance issues.
The document discusses the Yocto Project, an open source tool for building custom Linux-based systems. It summarizes that Yocto is used to download source code, apply patches, perform cross-compilation, manage packages, and generate binary packages, Linux images, toolchains, and SDKs. It also advertises upcoming presentations on using Yocto to build systems for Intel Galileo boards and how to accelerate time to market with Yocto Project.
- Intel dominates the TOP500 supercomputer list, powering 427 of the top 500 systems and 111 of the newest systems using Intel Xeon and Xeon Phi processors.
- HPC performance has improved over 15,000x in the past 20 years, with innovations like clusters now enabling top performance to waterfall down to single-socket systems within 6-8 years.
- Knights Landing, the next generation Intel Xeon Phi product, will provide over 3 teraflops of performance in a single package in 2015, using enhanced Intel Atom cores and on-package memory.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/khronos-group-standards-powering-the-future-of-embedded-vision-a-presentation-from-the-khronos-group/
Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit.
Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, the number of accelerators, processors, libraries and compilers in the market is rapidly increasing. Proprietary APIs and formats create a complex industry landscape that can hinder overall market growth.
The Khronos Group’s open standards for accelerating parallel programming play a major role in deploying inferencing and embedded vision applications and include SYCL, OpenVX, NNEF, Vulkan, SPIR, and OpenCL. Trevett provides an up-to-the-minute overview and update on the Khronos embedded vision ecosystem, highlighting the capabilities and benefits of each API, giving viewers insight into which standards may be relevant to their own embedded vision projects, and discussing the future directions of these key industry initiatives.
clCaffe*: Unleashing the Power of Intel Graphics for Deep Learning AccelerationIntel® Software
In this presentation, you will hear a story about how Intel graphics can accelerate deep learning applications. The method is simple and reproducible, with impressive results of up to four times over the original CPU performance. We introduce clCaffe*, an extension of the well-known Caffe* framework with OpenCL™ standard. This OpenCL™ standard enables primitives of the convolutional neural networks (CNN) pipeline to operate on GPU (graphics processing unit), FPGA (field programmable gate array) or any device with OpenCL support. Once set up, Caffe users can seamlessly toggle to clCaffe to take advantage of Intel graphics acceleration. Compared with original CPUs, Intel graphics presents 2.5x speedup (AlexNet classification), or 4.0x (GoogleNet classification) on 5th or 6th generation Intel® Core™ processors. Finally, we give a detailed analysis of clCaffe performance, and identify the lacking components in Intel Graphics software stack that impair its performance in the deep learning support.
What are latest new features that DPDK brings into 2018?Michelle Holley
We will provide an overview of the new features of the latest DPDK release including source code browsing and API listing of top two new features of latest DPDK release. And on top of that, there will be a hands-on lab, on the Intel® microarchitecture servers, to learn how getting started with DPDK will become much simpler and powerful.
Are you ready to work in the Parallel Universe? Rise to the challenge at SC13Intel IT Center
The document discusses optimization on Intel Xeon Phi coprocessors. It begins by comparing the peak performance and architecture of Xeon Phi coprocessors to Xeon processors, noting Xeon Phi has more cores, threads, and vector processing capabilities. It then outlines flexible execution models for running code on Xeon Phi, including offload and native modes. An example is shown of performance improvements from optimizing code for Xeon Phi. Upcoming "Knights Landing" Xeon Phi processors are discussed, which will integrate memory and run code natively.
Embree Ray Tracing Kernels | Overview and New Features | SIGGRAPH 2018 Tech S...Intel® Software
Overview of the new Embree 3 ray tracing framework, including how to use the new API, supported geometry types, and ray intersection methods. Includes a look at new features like normal oriented curves, vertex grids, etc.
This document discusses network performance on Intel server platforms. It provides an overview of packet I/O basics like receive and transmit processing. It describes how Data Direct I/O (DDIO) reduces memory accesses from I/O. PCIe bandwidth capabilities are discussed in relation to packet size. Ethernet packet rates and the CPU processing budget needed to support different packet sizes and throughput levels are examined. The document concludes by noting the IPV4 forwarding capacity of Intel platforms over the years.
The document discusses pipeline architecture and describes:
1. The difference between run-to-completion and pipeline software models, where pipeline models disperse packets to other cores for processing.
2. How the Intel DPDK Packet Framework can be used to rapidly develop packet processing applications using standard pipeline blocks like ports, tables, and a pipeline configuration API.
3. How the DPDK Packet Demonstrators (DPPD) provide sample applications and configurations to analyze performance and find bottlenecks in multi-core packet processing applications.
An easy-to-use, automatic, self-contained toolkit to accelerate ODM* benchmarking NFVi-ready server designs on Intel® Scalable Server platforms based on golden benchmark to characterize baseline performance test on DPDK, QAT and OVS, running on a single Xeon SP server.
Ultra HD Video Scaling: Low-Power HW FF vs. CNN-based Super-ResolutionIntel® Software
The visual computing world is moving to an exciting technological era of ultra HD (UHD) and wide-gamut deep colors (WCG). The new Gen9 graphics engine in the 6th generation Intel® Core™ processors is the developers’ platform choice for creating visual excellence in 4K and deep colors. The Gen9 processor graphics offers attractive solutions for high-quality and low-power video scaling that handle UHD and WCG. First, we introduce a hardware fixed-function scaler inside the new SFC (scaling and format conversion) module that provides high quality scaling in low-power platforms. Second, we present a super-resolution scaling solution based on convolutional neural network that can be implemented via OpenCL™ running on the execution units (EUs). We discuss the merits of each solution in different user environments
Open Source Interactive CPU Preview Rendering with Pixar's Universal Scene De...Intel® Software
Universal Scene Description* (USD) is an open source initiative developed by Pixar for fast, large scale, and universal asset management across multiple programs including Maya, Houdini, and others.
This document provides an introduction to network functions virtualization (NFV) and discusses its potential benefits and challenges. Some key points:
- NFV involves separating network functions from proprietary hardware appliances and implementing them as software virtual network functions (VNFs) that can run on standard server hardware.
- This allows network functions to be deployed flexibly on commodity hardware and moved easily between data centers. It also aims to reduce costs and simplify network operations.
- Integration with legacy systems and ensuring interoperability between VNFs are seen as main challenges. Data plane performance is also critical for the most demanding use cases.
- Software defined networking (SDN) helps control and interconnect VNFs by
A Path to NFV/SDN - Intel. Michael Brennan, INTELWalton Institute
This document discusses Intel's approach to accelerating the adoption of Network Functions Virtualization (NFV) and Software-Defined Networking (SDN). It outlines Intel's open strategy of advancing open source software and standards, delivering open reference designs for Intel platforms, and enabling a broad ecosystem of partners. The goal is to help networking platforms based on Intel architecture replace proprietary, dedicated networking appliances. The document also references Intel's Open Network Platform (ONP) server and switch software reference designs, and examples of trials and deployments Intel is collaborating on with telecom, cloud, and enterprise customers.
The document provides an overview of the DPDK libraries and components. It describes DPDK as a set of software libraries designed for high-speed packet processing. It lists some of the key libraries like the Environment Abstraction Layer, memory management, buffer management, queue management, and packet access poll mode drivers. It also briefly describes what each of these libraries are used for in enabling fast packet processing applications.
More explosions, more chaos, and definitely more blowing stuff upIntel® Software
This document discusses optimizations and new DirectX features for Intel graphics hardware. It begins with an introduction of Avalanche Studios, the developer of the game Just Cause 3. It then discusses the use of Intel's Graphics Performance Analyzers tools to analyze Just Cause 3 and identify optimization opportunities. The document outlines several low-level shader optimizations performed, including reworking math operations, rearranging variables, and reusing intermediate values. It also discusses leveraging new DirectX features pioneered by Intel. The goal of these optimizations is to improve performance for the large install base of gamers using Intel graphics.
Accelerating Virtual Machine Access with the Storage Performance Development ...Michelle Holley
Abstract: Although new non-volatile media inherently offers very low latency, remote access
using protocols such as NVMe-oF and presenting the data to VMs via virtualized interfaces such as virtio
adds considerable software overhead. One way to reduce the overhead is to use the Storage
Performance Development Kit (SPDK), an open-source software project that provides building blocks for
scalable and efficient storage applications with breakthrough performance. Comparing the software
paths for virtualizing block storage I/O illustrates the advantages of the SPDK-based approach. Empirical
data shows that using SPDK can improve CPU efficiency by up to 10 x and reduce latency up to 50% over
existing methods. Future enhancements for SPDK will make its advantages even greater.
Speaker Bio: Anu Rao is Product line manager for storage software in Data center Group. She helps
customer ease into and adopt open source Storage software like Storage Performance Development Kit
(SPDK) and Intelligent Software Acceleration-Library (ISA-L).
Playing low FPS games is never enjoyable. Learn how to approach game optimization and utilize industry optimization tools. Come join us for a live optimization workflow tutorial with XXX game development studio using the Intel® Graphics Performance Analyzers
The document summarizes a proof-of-concept (POC) project conducted by Intel IT to test the performance and total cost of ownership (TCO) of virtualized server platforms based on Intel Xeon and AMD Opteron processors. Key findings from testing various workloads on VMware ESX Server 3.01 include:
- Servers based on Intel Xeon X5355 provided 1.25-2.33x higher absolute performance than AMD Opteron-based servers.
- The Intel Xeon platform delivered 1.83-1.94x better performance-per-dollar and 1.46-1.97x better performance-per-watt than AMD Op
This document provides an introduction to the Intel Data Plane Development Kit (DPDK) and discusses:
- DPDK addresses the challenges of high-speed packet processing on Intel architectures by eliminating kernel and interrupt overheads through a userspace polling model.
- DPDK is open source under a BSD license, allowing free use and modification of the code.
- DPDK optimizes packet processing performance through techniques like huge pages, prefetching, and affinity of threads to CPU cores.
Multiple Cores, Multiple Pipes, Multiple Threads – Do we have more Parallelis...Slide_N
This document summarizes a presentation given at the 2005 IEEE Hot Chips conference about parallelism in modern processors and how it relates to programming models. It discusses different types of parallelism available at the processor, system, and application levels. It then examines approaches to parallelism used by general-purpose CPUs, special-purpose CPUs like the Cell processor, and GPUs. While parallelism is increasing in these devices, programming them effectively remains challenging due to the difficulty of parallel programming and lack of appropriate language and tooling support. The document calls for more research in parallel programming models and languages to make better use of emerging multi-core architectures.
The document discusses a presentation given by Seth Schneider from Intel and Russ Glaeser from Cascade Game Foundry. It introduces Intel's Graphics Performance Analyzers (GPA) tool and demonstrates how it was used to optimize the game Infinite Scuba developed by Cascade Game Foundry. The presentation covered an overview of GPA, details about Infinite Scuba, and a live demo of using GPA to analyze and improve performance of the game.
The document provides information on performance monitoring and analysis tools from Intel, including the Intel VTune Amplifier XE, Intel Performance Counter Monitor (PCM), and guidance on using them. It outlines a process for identifying performance bottlenecks including finding hotspots, determining efficiency, and identifying the underlying architectural issues. Potential issues discussed include cache misses, data access problems, allocation stalls, and branch mispredictions. The document also provides usage examples and resources for further information.
Desenvolvimento e análise de performance de jogos Android com Coco2d-HTML5Intel Software Brasil
O documento discute o desenvolvimento e análise de desempenho de jogos Android usando Cocos2d-HTML5. Ele descreve como Cocos2d permite desenvolver jogos multiplataforma e como a compilação para x86 melhorou o desempenho em termos de FPS, apesar de um pequeno aumento no consumo de energia. A análise de desempenho comparou as compilações padrão e x86 sob cargas de trabalho intensivas para avaliar o uso da CPU e consumo de energia.
Este documento discute os desafios do desenvolvimento multi-plataforma. Apresenta os diferentes formatos de dispositivos, sistemas operacionais e recursos de hardware. Também aborda questões como fragmentação, monetização, ferramentas de desenvolvimento e desempenho para aplicativos em múltiplas plataformas.
Embree Ray Tracing Kernels | Overview and New Features | SIGGRAPH 2018 Tech S...Intel® Software
Overview of the new Embree 3 ray tracing framework, including how to use the new API, supported geometry types, and ray intersection methods. Includes a look at new features like normal oriented curves, vertex grids, etc.
This document discusses network performance on Intel server platforms. It provides an overview of packet I/O basics like receive and transmit processing. It describes how Data Direct I/O (DDIO) reduces memory accesses from I/O. PCIe bandwidth capabilities are discussed in relation to packet size. Ethernet packet rates and the CPU processing budget needed to support different packet sizes and throughput levels are examined. The document concludes by noting the IPV4 forwarding capacity of Intel platforms over the years.
The document discusses pipeline architecture and describes:
1. The difference between run-to-completion and pipeline software models, where pipeline models disperse packets to other cores for processing.
2. How the Intel DPDK Packet Framework can be used to rapidly develop packet processing applications using standard pipeline blocks like ports, tables, and a pipeline configuration API.
3. How the DPDK Packet Demonstrators (DPPD) provide sample applications and configurations to analyze performance and find bottlenecks in multi-core packet processing applications.
An easy-to-use, automatic, self-contained toolkit to accelerate ODM* benchmarking NFVi-ready server designs on Intel® Scalable Server platforms based on golden benchmark to characterize baseline performance test on DPDK, QAT and OVS, running on a single Xeon SP server.
Ultra HD Video Scaling: Low-Power HW FF vs. CNN-based Super-ResolutionIntel® Software
The visual computing world is moving to an exciting technological era of ultra HD (UHD) and wide-gamut deep colors (WCG). The new Gen9 graphics engine in the 6th generation Intel® Core™ processors is the developers’ platform choice for creating visual excellence in 4K and deep colors. The Gen9 processor graphics offers attractive solutions for high-quality and low-power video scaling that handle UHD and WCG. First, we introduce a hardware fixed-function scaler inside the new SFC (scaling and format conversion) module that provides high quality scaling in low-power platforms. Second, we present a super-resolution scaling solution based on convolutional neural network that can be implemented via OpenCL™ running on the execution units (EUs). We discuss the merits of each solution in different user environments
Open Source Interactive CPU Preview Rendering with Pixar's Universal Scene De...Intel® Software
Universal Scene Description* (USD) is an open source initiative developed by Pixar for fast, large scale, and universal asset management across multiple programs including Maya, Houdini, and others.
This document provides an introduction to network functions virtualization (NFV) and discusses its potential benefits and challenges. Some key points:
- NFV involves separating network functions from proprietary hardware appliances and implementing them as software virtual network functions (VNFs) that can run on standard server hardware.
- This allows network functions to be deployed flexibly on commodity hardware and moved easily between data centers. It also aims to reduce costs and simplify network operations.
- Integration with legacy systems and ensuring interoperability between VNFs are seen as main challenges. Data plane performance is also critical for the most demanding use cases.
- Software defined networking (SDN) helps control and interconnect VNFs by
A Path to NFV/SDN - Intel. Michael Brennan, INTELWalton Institute
This document discusses Intel's approach to accelerating the adoption of Network Functions Virtualization (NFV) and Software-Defined Networking (SDN). It outlines Intel's open strategy of advancing open source software and standards, delivering open reference designs for Intel platforms, and enabling a broad ecosystem of partners. The goal is to help networking platforms based on Intel architecture replace proprietary, dedicated networking appliances. The document also references Intel's Open Network Platform (ONP) server and switch software reference designs, and examples of trials and deployments Intel is collaborating on with telecom, cloud, and enterprise customers.
The document provides an overview of the DPDK libraries and components. It describes DPDK as a set of software libraries designed for high-speed packet processing. It lists some of the key libraries like the Environment Abstraction Layer, memory management, buffer management, queue management, and packet access poll mode drivers. It also briefly describes what each of these libraries are used for in enabling fast packet processing applications.
More explosions, more chaos, and definitely more blowing stuff upIntel® Software
This document discusses optimizations and new DirectX features for Intel graphics hardware. It begins with an introduction of Avalanche Studios, the developer of the game Just Cause 3. It then discusses the use of Intel's Graphics Performance Analyzers tools to analyze Just Cause 3 and identify optimization opportunities. The document outlines several low-level shader optimizations performed, including reworking math operations, rearranging variables, and reusing intermediate values. It also discusses leveraging new DirectX features pioneered by Intel. The goal of these optimizations is to improve performance for the large install base of gamers using Intel graphics.
Accelerating Virtual Machine Access with the Storage Performance Development ...Michelle Holley
Abstract: Although new non-volatile media inherently offers very low latency, remote access
using protocols such as NVMe-oF and presenting the data to VMs via virtualized interfaces such as virtio
adds considerable software overhead. One way to reduce the overhead is to use the Storage
Performance Development Kit (SPDK), an open-source software project that provides building blocks for
scalable and efficient storage applications with breakthrough performance. Comparing the software
paths for virtualizing block storage I/O illustrates the advantages of the SPDK-based approach. Empirical
data shows that using SPDK can improve CPU efficiency by up to 10 x and reduce latency up to 50% over
existing methods. Future enhancements for SPDK will make its advantages even greater.
Speaker Bio: Anu Rao is Product line manager for storage software in Data center Group. She helps
customer ease into and adopt open source Storage software like Storage Performance Development Kit
(SPDK) and Intelligent Software Acceleration-Library (ISA-L).
Playing low FPS games is never enjoyable. Learn how to approach game optimization and utilize industry optimization tools. Come join us for a live optimization workflow tutorial with XXX game development studio using the Intel® Graphics Performance Analyzers
The document summarizes a proof-of-concept (POC) project conducted by Intel IT to test the performance and total cost of ownership (TCO) of virtualized server platforms based on Intel Xeon and AMD Opteron processors. Key findings from testing various workloads on VMware ESX Server 3.01 include:
- Servers based on Intel Xeon X5355 provided 1.25-2.33x higher absolute performance than AMD Opteron-based servers.
- The Intel Xeon platform delivered 1.83-1.94x better performance-per-dollar and 1.46-1.97x better performance-per-watt than AMD Op
This document provides an introduction to the Intel Data Plane Development Kit (DPDK) and discusses:
- DPDK addresses the challenges of high-speed packet processing on Intel architectures by eliminating kernel and interrupt overheads through a userspace polling model.
- DPDK is open source under a BSD license, allowing free use and modification of the code.
- DPDK optimizes packet processing performance through techniques like huge pages, prefetching, and affinity of threads to CPU cores.
Multiple Cores, Multiple Pipes, Multiple Threads – Do we have more Parallelis...Slide_N
This document summarizes a presentation given at the 2005 IEEE Hot Chips conference about parallelism in modern processors and how it relates to programming models. It discusses different types of parallelism available at the processor, system, and application levels. It then examines approaches to parallelism used by general-purpose CPUs, special-purpose CPUs like the Cell processor, and GPUs. While parallelism is increasing in these devices, programming them effectively remains challenging due to the difficulty of parallel programming and lack of appropriate language and tooling support. The document calls for more research in parallel programming models and languages to make better use of emerging multi-core architectures.
The document discusses a presentation given by Seth Schneider from Intel and Russ Glaeser from Cascade Game Foundry. It introduces Intel's Graphics Performance Analyzers (GPA) tool and demonstrates how it was used to optimize the game Infinite Scuba developed by Cascade Game Foundry. The presentation covered an overview of GPA, details about Infinite Scuba, and a live demo of using GPA to analyze and improve performance of the game.
The document provides information on performance monitoring and analysis tools from Intel, including the Intel VTune Amplifier XE, Intel Performance Counter Monitor (PCM), and guidance on using them. It outlines a process for identifying performance bottlenecks including finding hotspots, determining efficiency, and identifying the underlying architectural issues. Potential issues discussed include cache misses, data access problems, allocation stalls, and branch mispredictions. The document also provides usage examples and resources for further information.
Desenvolvimento e análise de performance de jogos Android com Coco2d-HTML5Intel Software Brasil
O documento discute o desenvolvimento e análise de desempenho de jogos Android usando Cocos2d-HTML5. Ele descreve como Cocos2d permite desenvolver jogos multiplataforma e como a compilação para x86 melhorou o desempenho em termos de FPS, apesar de um pequeno aumento no consumo de energia. A análise de desempenho comparou as compilações padrão e x86 sob cargas de trabalho intensivas para avaliar o uso da CPU e consumo de energia.
Este documento discute os desafios do desenvolvimento multi-plataforma. Apresenta os diferentes formatos de dispositivos, sistemas operacionais e recursos de hardware. Também aborda questões como fragmentação, monetização, ferramentas de desenvolvimento e desempenho para aplicativos em múltiplas plataformas.
This document summarizes a presentation about developing cross-platform apps with Apache Cordova and Intel XDK. It discusses the fragmented mobile device and operating system landscape and the need for hybrid apps. It provides an overview of Apache Cordova and the architecture and features of Intel XDK for creating hybrid mobile apps. It also discusses Intel's support for HTML5 and resources available through their developer program.
O documento discute novidades do Android KitKat para melhoria do gerenciamento de energia, incluindo o WakeLock Detector, controle de permissões e uso do AlarmManager. Também fornece dicas sobre como medir e otimizar o consumo de energia de aplicativos móveis.
This document provides an overview of the Internet of Things (IoT) including what IoT is, opportunities with IoT, Intel's involvement in IoT, and examples of IoT applications. It discusses how IoT is currently being implemented, opportunities it provides to improve existing solutions and create new connected systems. It also outlines Intel's support for open source in IoT and provides examples of current IoT products and platforms.
Principais conceitos técnicas e modelos de programação paralelaIntel Software Brasil
1) O documento apresenta os principais conceitos, técnicas e modelos de programação paralela, incluindo memória compartilhada e distribuída.
2) São discutidos padrões como decomposição de domínio, decomposição de tarefas e pipeline para detectar oportunidades de paralelismo.
3) Ferramentas como OpenMP, Intel TBB, Cilk Plus e MPI são apresentadas para implementar programação paralela em memória compartilhada e distribuída.
Esta palestra tem como objetivo demonstrar ao desenvolvedor, de forma prática, como a modernização de código traz um ganho de desempenho considerável explorando diferentes níveis de paralelismo (vetorização e multithreading) disponíveis nas arquiteturas multi-core (processadores Core™ e Xeon®) e many-core (co-processador Xeon Phi™). De forma breve, também será abordado nesta palestra temas como “Visão da Intel para computação Exascale” e iniciativas da Intel® em HPC no Brasil.
O documento discute a metodologia para realizar benchmarking de sistemas de alto desempenho. Apresenta conceitos-chave como workload, sistema e métricas. Descreve as fases de planejamento, definição de requisitos e execução do benchmarking. Enfatiza a importância de se usar workloads representativos e analisar cuidadosamente os resultados para evitar conclusões equivocadas.
O documento apresenta conceitos e técnicas de vetorização. Discute sobre introdução à vetorização, incluindo vantagens do processamento vetorial. Apresenta abordagens para vetorização como auto-vetorização, diretivas como #pragma, e uso de Intel Cilk Plus para notação vetorial.
The document discusses Intel technologies for high performance computing. It provides an overview of Intel's product families targeted at HPC workloads, including the Xeon E5-2600 v3 and E7-8800 v3 processor families. It also reviews some basics of HPC, including factors that impact performance such as memory bandwidth and latency. The document emphasizes that data movement between the CPU and memory hierarchy can often be a bottleneck, and that optimizing for high floating point operations per memory access is important.
The document discusses NUMA (Non-Uniform Memory Access) architecture and optimization. With NUMA, memory is divided across multiple nodes and latency depends on memory location. Local memory has the lowest latency while remote memory has higher latency. The document provides examples of local and remote memory access and discusses how process-parallel and shared-memory threading applications are affected by NUMA. It also covers NUMA-aware operating system differences, techniques for process affinity, and NUMA optimization strategies like minimizing remote memory access.
This document is a resume for Luciano Palma. It summarizes his experience as an electronic engineer, MBA graduate, entrepreneur, community manager, and consultant working with top technology companies like Google, Intel, and Microsoft. It lists his areas of expertise including public speaking, business modeling, relationship building, technical knowledge, creativity, and social/communication skills. His professional experience section details his roles managing communities and digital marketing at Google and Intel, as well as previous work as a technical evangelist, software developer, and consultant.
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Why do people do what they do? What drives them to think the way they do and propels their thinking into action. How does the mentoring/coaching orientation manifest into team motivation and how does a team leader use his/her EQ/EI antenna to adapt to different styles and triggers.
This document contains information about Embree ray tracing kernels. It discusses how Embree provides highly optimized ray tracing kernels to accelerate rendering performance for applications. Embree supports the latest CPUs and instruction sets and contains features like support for triangles, subdivision surfaces, and displacement mapping. It also contains performance results showing Embree achieving 1.5-6x speedups over other renderers on Intel Xeon and Xeon Phi platforms.
Explore, design and implement threading parallelism with Intel® Advisor XEIntel IT Center
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Tendências da junção entre Big Data Analytics, Machine Learning e Supercomput...Igor José F. Freitas
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This document contains several legal disclaimers and notices regarding Intel products and technologies. It states that information in the document is provided in connection with Intel products, and that no license is granted to any intellectual property. It also disclaims warranties and liability. The document notes that product plans and figures are preliminary and subject to change, and that errata may exist in products.
The document discusses Intel's Open Image Denoise (OIDN) library, an open source denoising solution for lightmaps in the Unity game engine. It begins with an agenda for the talk and provides an overview of OIDN, including examples of its C++ API. It then discusses how OIDN can improve lightmap baking performance in Unity. The document contains several legal disclaimers and notices regarding Intel technologies.
Ready access to high performance Python with Intel Distribution for Python 2018AWS User Group Bengaluru
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The document discusses Intel's AppUp application store coming to the MeeGo operating system. It provides an overview of the MeeGo architecture and ecosystem, describes Intel's AppUp developer program and SDK for creating apps for MeeGo, and encourages developers to join the program.
HPC DAY 2017 | Accelerating tomorrow's HPC and AI workflows with Intel Archit...HPC DAY
HPC DAY 2017 - http://www.hpcday.eu/
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How Funcom Increased Play Time in Lego Minifigures by 40%Gael Hofemeier
With the recent gaming changes to mobile platforms from traditional desktops, the relationship between power and performance is tighter than ever. Providing the best user experience in the mobile gaming world means high performance and longer battery life. This session will teach developers practical methods to improve user experience by providing a practical overview of power issues in gaming and show how to boost the end user experience regardless of the platform's power constraints. Attendees will then walk through a practical example by Funcom to create a power saving mode in Lego Minifigures that increased gaming time by more than 40%.
We will show that we can quickly reduce processor power consumption over 50% when optimizing a gaming workload by performing simple modifications such as capping the frame rate, reducing AI threads, changing the rendering resolution, and choosing the right algorithm. Developers will leave the presentation with an increased understanding of key power optimizations to take back and use in their mobile games.
Droidcon2013 x86phones weggerle_taubert_intelDroidcon Berlin
This document discusses x86 powered phones, including their present situation and future outlook. It begins with an overview of Intel's current phone portfolio using their Medfield and Clover Trail+ platforms. The next section discusses what is coming in the future, including the Merrifield and Bay Trail platforms. The document then addresses what x86 means for developers, such as optimization techniques and available tools. It concludes with a discussion of performance optimizations and software development kits.
TDC2018SP | Trilha IA - Inteligencia Artificial na Arquitetura Inteltdc-globalcode
This document contains several legal notices and disclaimers from Intel regarding their products. No license is granted to any intellectual property and Intel assumes no liability relating to the sale and use of their products. Intel products are not intended for medical or life critical applications. Specifications and descriptions are subject to change without notice.
This document provides a roadmap for Intel's desktop, mobile, and datacenter products from the second half of 2013 through the first quarter of 2014. It outlines planned processor and chipset releases, including Ivy Bridge, Haswell, and Bay Trail architectures. The document also contains legal disclaimers regarding the provision of information, product warranties, mission critical applications, product specifications, and characterization of engineering samples.
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This document discusses using hardware metrics to optimize Unity games for performance. It introduces Intel's Graphics Performance Analyzers tools which can measure CPU, GPU, memory and other metrics. Key metrics that can indicate bottlenecks are pixel shader duration, sampler stalls and memory bandwidth utilization. The document demonstrates analyzing a sample Unity project using these tools to identify optimization opportunities like simplifying geometry or materials. It encourages developers to measure performance on a range of hardware to optimize for lower-end devices.
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O documento discute os desafios do desenvolvimento multiplataforma, incluindo a fragmentação entre dispositivos, sistemas operacionais e recursos de hardware. Também aborda questões de monetização em múltiplas lojas de aplicativos e a importância de oferecer uma experiência consistente para o usuário através de diferentes plataformas. Finalmente, examina ferramentas e abordagens para desenvolver aplicativos multiplataforma, como HTML5, bibliotecas multiplataforma e motores de jogos.
The document discusses the Yocto Project, an open source project that provides tools and methods to build custom Linux-based systems. It summarizes that Yocto can download source code, apply patches, perform cross-compilation, manage packages, and generate binary packages, Linux images, toolchains, and SDKs. It then promotes upcoming talks on using Yocto and provides information on Intel's open source software site for developers.
This document provides an overview of Internet of Things (IoT) topics including what IoT is, opportunities with IoT, Intel's involvement in IoT, and examples of IoT devices. It discusses how IoT is currently being implemented, opportunities it provides to improve existing solutions and create new connected systems. It also outlines Intel's support for open source in IoT and describes several consumer-facing IoT products like Nest, Goji, and Basis that connect to smartphones.
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Methods and practices to analyze the performance of your application with Intel® VTune™ Amplifier XE
1. Methods and practices to
analyze the performance of your
application with Intel® VTune™
Amplifier XE
Leo Borges
Intel Software Conference 2014 Brazil
May 2014