This document provides a summary of a meeting about CUDA parallel programming and gaming:
- The meeting covered topics like Nvidia news from CES, the Jetson TK1 board, parallel programming experience with CUDA, and announcements about upcoming meetups.
- Attendees learned about using the Jetson TK1 for projects involving drones, computer vision, and 3D printing. Demonstrations showed the Parrot drone working with the Jetson TK1.
- Resources were shared for installing CUDA and OpenCV on the Jetson TK1 along with links to documentation and tutorials. Questions were taken about potential research projects using the Jetson TK1.
This is a presentation I presented at NVIDIA AI Conference in Korea. It's about building the largest GPU - DGX-2, the most powerful supercomputer in one node.
This presentation covers a talk on the topic of "AI on the edge". The talk was delivered in the Conference on Artificial Intelligence and Robotics Technology held on Jan 28, 2021 by National Center of Artificial Intelligence Pakistan & working group by Ministry of Science and Technology on AI & Robotics.
review of factors affecting IoT system selection. for MVP phase and later phases. Computation, price, connectivity, open source support, development SDKs
This is a presentation I presented at NVIDIA AI Conference in Korea. It's about building the largest GPU - DGX-2, the most powerful supercomputer in one node.
This presentation covers a talk on the topic of "AI on the edge". The talk was delivered in the Conference on Artificial Intelligence and Robotics Technology held on Jan 28, 2021 by National Center of Artificial Intelligence Pakistan & working group by Ministry of Science and Technology on AI & Robotics.
review of factors affecting IoT system selection. for MVP phase and later phases. Computation, price, connectivity, open source support, development SDKs
It’s surprisingly straightforward to migrate feature code from the CPU to the DSP – and determine the resulting benefits to the end application. In this session we’ll demonstrate Qualcomm® Hexagon™ SDK installation, code generation, profiling and execution of dynamic code modules on a Qualcomm® Snapdragon™ hardware target, and you’ll learn how to analyze the resulting performance benefits. Qualcomm Snapdragon and Qualcomm Hexagon are products of Qualcomm Technologies, Inc.
Learn more about Hexagon SDK: https://developer.qualcomm.com/hexagon
Watch this presentation on YouTube:
https://www.youtube.com/watch?v=x6mKEWLzJM0
Supercomputing has swept rapidly from the far edges of science to the heart of our everyday lives. And propelling it forward – bringing it into the mobile phone already in your pocket and the car in your driveway – is GPU acceleration, NVIDIA CEO Jen-Hsun Huang told a packed house at a rollicking event kicking off this week’s SC15 annual supercomputing show in Austin. The event draws 10,000 researchers, national lab directors and others from around the world.
Review state-of-the-art techniques that use neural networks to synthesize motion, such as mode-adaptive neural network and phase-functioned neural networks. See how next-generation CPUs with reinforcement learning can offer better performance.
HSA-4146, Creating Smarter Applications and Systems Through Visual Intelligen...AMD Developer Central
Presentation HSA-4146, Creating Smarter Applications and Systems Through Visual Intelligence, by Jeff Bier at the AMD Developer Summit (APU13) November 11-13, 2013.
Streamed Cloud Gaming Solutions for Android* and PC GamesIntel® Software
Cloud gaming is getting a lot of press lately. As the leading cloud service provider in China, Tencent is embracing the cloud to deliver graphic-intensive PC and mobile games, as well as core developer solutions.
Build a Deep Learning Video Analytics Framework | SIGGRAPH 2019 Technical Ses...Intel® Software
Explore how to build a unified framework based on FFmpeg and GStreamer to enable video analytics on all Intel® hardware, including CPUs, GPUs, VPUs, FPGAs, and in-circuit emulators.
Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...AMD Developer Central
Keynote presentation, The Programmers Guide to Reaching for the Cloud, by Phil Rogers, AMD Corporate Fellow, AMD, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
Breaking New Frontiers in Robotics and Edge Computing with AIDustin Franklin
This NVIDIA webinar will cover the latest tools and techniques to deploy advanced AI at the edge, including Jetson TX2 and TensorRT. Get up to speed on recent developments in robotics and deep learning.
By participating you'll learn:
1. How to build high-performance, energy-efficient embedded systems
2. Workflows for training AI in the cloud and deploying at the edge
3. The latest upcoming JetPack release and its performance improvements.
4. Real-time deep learning primitives for autonomous navigation.
5. NVIDIA’s latest Isaac Initiative for robotics
Data Science Week 2016. NVIDIA. "Платформы и инструменты для реализации систе...Newprolab
Антон Джораев, Senior Enterprise Business Development Manager, NVIDIA. Если вы хотите получить доступ к видео выступления, напишите нам на datascienceweek2016@gmail.com.
Jetson AGX Xavier and the New Era of Autonomous MachinesDustin Franklin
Deep-dive on NVIDIA Jetson AGX Xavier, designed to help you deploy advanced AI onboard robots, drones, and other autonomous machines. View the webinar here: https://bit.ly/2BWVWv1
It’s surprisingly straightforward to migrate feature code from the CPU to the DSP – and determine the resulting benefits to the end application. In this session we’ll demonstrate Qualcomm® Hexagon™ SDK installation, code generation, profiling and execution of dynamic code modules on a Qualcomm® Snapdragon™ hardware target, and you’ll learn how to analyze the resulting performance benefits. Qualcomm Snapdragon and Qualcomm Hexagon are products of Qualcomm Technologies, Inc.
Learn more about Hexagon SDK: https://developer.qualcomm.com/hexagon
Watch this presentation on YouTube:
https://www.youtube.com/watch?v=x6mKEWLzJM0
Supercomputing has swept rapidly from the far edges of science to the heart of our everyday lives. And propelling it forward – bringing it into the mobile phone already in your pocket and the car in your driveway – is GPU acceleration, NVIDIA CEO Jen-Hsun Huang told a packed house at a rollicking event kicking off this week’s SC15 annual supercomputing show in Austin. The event draws 10,000 researchers, national lab directors and others from around the world.
Review state-of-the-art techniques that use neural networks to synthesize motion, such as mode-adaptive neural network and phase-functioned neural networks. See how next-generation CPUs with reinforcement learning can offer better performance.
HSA-4146, Creating Smarter Applications and Systems Through Visual Intelligen...AMD Developer Central
Presentation HSA-4146, Creating Smarter Applications and Systems Through Visual Intelligence, by Jeff Bier at the AMD Developer Summit (APU13) November 11-13, 2013.
Streamed Cloud Gaming Solutions for Android* and PC GamesIntel® Software
Cloud gaming is getting a lot of press lately. As the leading cloud service provider in China, Tencent is embracing the cloud to deliver graphic-intensive PC and mobile games, as well as core developer solutions.
Build a Deep Learning Video Analytics Framework | SIGGRAPH 2019 Technical Ses...Intel® Software
Explore how to build a unified framework based on FFmpeg and GStreamer to enable video analytics on all Intel® hardware, including CPUs, GPUs, VPUs, FPGAs, and in-circuit emulators.
Keynote (Phil Rogers) - The Programmers Guide to Reaching for the Cloud - by ...AMD Developer Central
Keynote presentation, The Programmers Guide to Reaching for the Cloud, by Phil Rogers, AMD Corporate Fellow, AMD, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
Breaking New Frontiers in Robotics and Edge Computing with AIDustin Franklin
This NVIDIA webinar will cover the latest tools and techniques to deploy advanced AI at the edge, including Jetson TX2 and TensorRT. Get up to speed on recent developments in robotics and deep learning.
By participating you'll learn:
1. How to build high-performance, energy-efficient embedded systems
2. Workflows for training AI in the cloud and deploying at the edge
3. The latest upcoming JetPack release and its performance improvements.
4. Real-time deep learning primitives for autonomous navigation.
5. NVIDIA’s latest Isaac Initiative for robotics
Data Science Week 2016. NVIDIA. "Платформы и инструменты для реализации систе...Newprolab
Антон Джораев, Senior Enterprise Business Development Manager, NVIDIA. Если вы хотите получить доступ к видео выступления, напишите нам на datascienceweek2016@gmail.com.
Jetson AGX Xavier and the New Era of Autonomous MachinesDustin Franklin
Deep-dive on NVIDIA Jetson AGX Xavier, designed to help you deploy advanced AI onboard robots, drones, and other autonomous machines. View the webinar here: https://bit.ly/2BWVWv1
Uncovering the Elusive HIV Capsid with Kepler GPUs Running NAMD and VMDCan Ozdoruk
Computational scientists at the University of Illinois at Urbana–Champaign and the University of Pittsburg have now resolved the HIV capsid's chemical structure. As reported recently on the cover of Nature, the researchers combined NMR structure analysis, electron microscopy and data-guided molecular dynamics simulations utilizing VMD to prepare and analyze simulations performed using NAMD on NVIDIA GPUs in one of the most powerful computers worldwide, Blue Waters, to obtain and characterize the HIV-1 capsid. The discovery can now guide the design of novel drugs for enhanced antiviral therapy.Also learn how NAMD performs with the latest Kepler GPUs, as well as details about GPU Test Drive (www.nvidia.com/GPUTestDrive) and how to try NAMD on Kepler GPUs for free.
Daniel Firestone and Gabriel Silva's presentation from the 2017 Open Networking Summit.
SDN is at the foundation of all large scale networks in the public cloud, such as Microsoft Azure - at past ONSes, Microsoft has detailed how all of Azure's virtual networks, load balancing, and security operate on SDN. But how do we make a software network scale to an era of 40, 50, and 100 gigabit networks on servers, providing great performance to end customers with ever increasing VM and container scale and density?
In this presentation, Daniel Firestone and Gabriel Silva will detail Azure Accelerated Networking, using Azure's FPGA-based SmartNICs. They will show how using FPGAs, we can achieve the programmability of a software network with the performance of a hardware one. They will detail how this and other host SDN advances have led to huge performance increases for Linux VMs in particular, and Linux-based NFV appliances, giving Azure industry-leading network performance.
Introduction to Software Defined Visualization (SDVis)Intel® Software
Software defined visualization (SDVis) is an open-source initiative from Intel and industry collaborators. Improve the visual fidelity, performance, and efficiency of prominent visualization solutions, while supporting the rapidly growing big data use on workstations through high-performance computing (HPC) on supercomputing clusters without memory limitations and cost of GPU-based solutions.
Hai Tao at AI Frontiers: Deep Learning For Embedded Vision SystemAI Frontiers
This presentation will demonstrate our recent progress in developing advanced computer vision algorithms using embedded platforms for video-based face recognition, vehicle attribute analysis, urban management event detection, and high-density crowd counting. These algorithms combine the traditional CV approach with recent advances in deep learning to make high-performance computer vision systems practical and enable products in several vertical markets including intelligent transportation systems (ITS), business intelligence (BI), and smart video surveillance. We will demonstrate algorithm design and optimization scheme for several recently available processors from Movidius, Nvidia, and ARM.
Backend.AI Technical Introduction (19.09 / 2019 Autumn)Lablup Inc.
This slide introduces technical specs and details about Backend.AI 19.09.
* On-premise clustering / container orchestration / scaling on cloud
* Container-level fractional GPU technology to use one GPU as many GPUs on many containers at the same time.
* NVidia GPU Cloud integrations
* Enterprise features
Webinar: NVIDIA JETSON – A Inteligência Artificial na palma de sua mãoEmbarcados
Objetivo do Webinar: Venha saber como a plataforma NVIDIA Jetson e suas ferramentas habilitam você a desenvolver e implantar robôs, drones, aplicativos de IVA e outras máquinas autônomas com tecnologia AI que pensam por conta própria.
Apoio: Arrow e NVIDIA.
Convidado: Marcel Saraiva
Gerente de Contas Enterprise da NVIDIA, executivo com 20 anos de expereincia no mercado de TI, teve na sua carreia passagens pela SGI (Silicon Graphics), Intel e Scansource. Engenheiro eletrico formado pela FEI, com pós-graduação em Marketing pela FAAP e MBA em Gestão Empresarial pela FGV.
Link para o Webinar: https://www.embarcados.com.br/webinars/nvidia-jetson-a-inteligencia-artificial-na-palma-de-sua-mao/
1) NVIDIA-Iguazio Accelerated Solutions for Deep Learning and Machine Learning (30 mins):
About the speaker:
Dr. Gabriel Noaje, Senior Solutions Architect, NVIDIA
http://bit.ly/GabrielNoaje
2) GPUs in Data Science Pipelines ( 30 mins)
- GPU as a Service for enterprise AI
- A short demo on the usage of GPUs for model training and model inferencing within a data science workflow
About the speaker:
Anant Gandhi, Solutions Engineer, Iguazio Singapore. https://www.linkedin.com/in/anant-gandhi-b5447614/
Fórum E-Commerce Brasil | Tecnologias NVIDIA aplicadas ao e-commerce. Muito a...E-Commerce Brasil
Tecnologias NVIDIA aplicadas ao e-commerce. Muito além do hardware.
Jomar Silva
Gerente de relacionamento com desenvolvedores para a América Latina - NVIDIA
https://eventos.ecommercebrasil.com.br/forum/
The Visual Computing Company
Por Margio Aguiar
PSG LATAM Manager
NVIDIA
Panorama sobre las ventajas de la tecnología de visualización en materia de cómputo para diferentes giros empresariales, ventaja competitiva y operativa ofertada por NVIDIA.
Presentation given by Jens Hagemeyer (Bielefeld University) at the ‘Low-Energy Heterogeneous Computing Workshop’ on 16 October 2020 within HiPEAC CSW Autumn 2020
The number of internet-connected devices is growing exponentially, enabling an increasing number of edge applications in environments such as smart cities, retail, and industry 4.0. These intelligent solutions often require processing large amounts of data, running models to enable image recognition, predictive analytics, autonomous systems, and more. Increasing system workloads and data processing capacity at the edge is essential to minimize latency, improve responsiveness, and reduce network traffic back to data centers. Purpose-built systems such as Supermicro’s short-depth, multi-node SuperEdge, powered by 3rd Gen Intel® Xeon® Scalable processors, increase compute and I/O density at the edge and enable businesses to further accelerate innovation.
Join this webinar to discover new insights in edge-to-cloud infrastructures and learn how Supermicro SuperEdge multi-node solutions leverage data center scale, performance, and efficiency for 5G, IoT, and Edge applications.
VEDLIoT at FPL'23_Accelerators for Heterogenous Computing in AIoTVEDLIoT Project
VEDLIoT took part in the 33rd International Conference on Field-Programmable Logic and Applications (FPL 2023), in Gothenburg, Sweden. René Griessl (UNIBI) presented VEDLIoT and our latest achievements in the Research Projects Event session, giving a presentation entitled "Accelerators for Heterogenous Computing in AIoT".
NVIDIA vGPU - Introduction to NVIDIA Virtual GPULee Bushen
Lee Bushen, Senior Solutions Architect at NVIDIA covers the basics of NVIDIA Virtual GPU.
- Why vGPU?
- How does it work?
- What are the main considerations for VDI?
- Which GPU is right for me?
- Which License do I need?
Microsoft Project Olympus AI Accelerator Chassis (HGX-1)inside-BigData.com
In this video from the Open Compute Summit, Siamak Tavallaei from Microsoft presents an overview of the Microsoft Project Olympus AI Accelerator Chassis, also known as the HGX-1.
Watch the presentation video: http://wp.me/p3RLHQ-guX
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
15. Riga BioTechnology Meetup
UI/UX Riga Meetup
Riga Drone Meetup
Riga Mobile App Developer
Meetup
Kick-off Meetup
December 12, THE Mill
December Meetup
December 15, THE Mill
Drone Kick-off Meetup
December 16, THE Mill
Kick-off Meetup
December 17, THE Mill
16. Riga Startup: Idea to IPO
CUDA parallel programming and
gaming meetup Riga
3D Printing Riga
Meetup
Bitcoin and Cryptocurrencies
Meetup
Find you Co-founder
December 18, THE Mill
December CUDA Meetup
December 22, THE Mill
January 3D Printing
January 8, RTU Design
Factory
JanuARY Meetup
jANUARy 26, THE Mill
28. Install the NVIDIA Linux driver binary release on your target located in:
${HOME}/NVIDIA-INSTALLER
Step 1)
Change directories into the NVIDIA installation directory:
cd ${HOME}/NVIDIA-INSTALLER
Step 2)
Run the installer script to extract and install the Linux driver binary release:
sudo ./installer.sh
Step 3)
Reboot the system to have the graphical desktop UI come up.
37. Jetson TEGRA TK1
Tegra K1 SOC
• Kepler GPU with 192 CUDA cores
• 4-Plus-1 quad-core ARM Cortex A15 CPU
• 2 GB x16 memory with 64 bit width
• 16 GB 4.51 eMMC memory
• 1 Half mini-PCIE slot
• 1 Full size SD/MMC connector
• 1 Full-size HDMI port
• 1 USB 2.0 port, micro AB
• 1 USB 3.0 port, A
• 1 RS232 serial port
• 1 ALC5639 Realtek Audio codec with Mic in and Line out
• 1 RTL8111GS Realtek GigE LAN
• 1 SATA data port
• SPI 4MByte boot flash
39. • IT industryexperiencesanincreasinggrowth for displaysurfaceswith high resolution
• Usecasesfor suchsurfacesincludesatellite and map data,x-rayand microscopeimages,multimedia,CCTV,etc.
• Existing solutions arenot scalable, do notoffer hardwareabstraction,suffer fromwiring limitations
Proposed Virtual Machine Based Monitor Wall Architecture
Introduction Scalability
Conclusions
• The current experiments show that this architecture is very feasible
for non FPS intensiveusecases where the displaywall can bedriven
byasingle physicalGPU
• The total resolution provided by this architecture even using the
currently available compression technology greatly exceeds the
resolutions of existing solutions, it would be expected for the
resolutionto grow inthe future
• The architecture itself scales very good, it is limited mainly by OS
support for multiple monitors (this can be overcome by simulating
a single high resolution display in the virtual machine that spans the
whole resolution of the physical wall) and the possibility to stack
multiple GPU’sin thehostsystem
• Future work should focus on the ability to virtualize OpenGL and
Direct3Dto removethe advantages ofnon-virtualized architectures
OS GPU
GPU
Monit
or
Monit
or
Monit
or
Monit
or
OS GPU
Monit
or
Monit
or
Monit
or
Monit
or
Splitter /
Scaler
Currentlythere aretwo mainalternatives to beused asthe H.264encoderin this architecture –Intel Quick Syncand NVENC.NVCENCis morefeasiblebecause:
• Thetotal encoding powercanbeincreasedbystacking up multiple GPUsthat supportNVENCwithout penalties while notall Intel QuickSyncGPUshavebuilt in video memory so scaling thesecardsintroduceaperformancepenalty
of using systemmemory
• NVENCdoes notput anylimitations onother componentsofthe system,while Intel Quick Syncsupportsalimited amountofCPUs
• Currentbenchmarksseemto showthat the overallFPS performancefor asingle GPU (whichisthe main criteriafor this architecture)is better for NVENCthan Intel QuickSync
Why NVENC?
Pro:OScannatively managethe displays
Con: Powerconsumption,supportedmonitorcountlimited bythe output countof theGPUsand
expansionslots for theGPUsonthe motherboard,deploymentislimited bywiring
Pro:Softwarecomplexityisreducedsinceit doesnot haveto bemultiple monitor aware
Con: SmallresolutionandDPI, visualization is notdisplayed in it’s nativeresolution
Con: Expensive
Currently Popular Monitor Wall Architectures
Pro:Scalable,hostmachinecanrunmultiplevirtual machines,multiple
virtualized GPU’s mapto physicalGPU’s to maximizeefficiency
Pro:LANconnectionto thedisplaywall removeswire length
limitations forcedbyDVI/HDMI cables
Pro:Total resolutionof thewall goes beyondtheones that canbe
achievedusing physical hardware
Con: Lossycompression
Con: NoDirect3D,OpenGLsupport
• Thehostmachinecollects the framebuffer datafrom thevirtual machineGPUsand performsH.264 encodingof thevideo stream onthe physicalhost
GPUthus thearchitectureheavilyreliesonafast hardwareH.264encoderallowing thehosted virtual machinesto fully usetheCPU
• NonFPS intensiveusecasesallow agreatnumberof virtual monitors to behosted onasingle physicalGPU thus reducingthe power consumption
0
50
100
Using Video…
Maximum
Thegraphbelowdemonstratesthescalability possibilities in termsof
possiblemaximalamountof connectedmonitors for thetraditional
architectureversustheproposedoneonaQuadroK4000 cardthat has 4
outputs.
Displaywallarchitecturewhereeachoutput of theGPU mapsto atileon thedisplaywall Displaywallarchitecturewhereeachoutput of theGPU issplit/upscaled among the tileson thedisplaywall
Host Machine
Virtual MachineG
P
U
G
P
U
G
P
U
G
P
UG
P
U
G
P
U
G
P
U
G
P
UG
P
U
G
P
U
G
P
U
G
P
UG
P
U
G
P
U
G
P
U
G
P
U
H.264/RTP/LAN
GPU
Theproposed displaywallarchitecturewhereeachoutput of avirtualGPU mapsto a
tileonthedisplaywallandistransmittedasaH.264streamoverLAN
Virtualmachinebasedmonitor wallrunningGooglemapsinsideChromewebbrowser on16tilesat1920x1080pixelseachgivingatotal
resolutionof 32megapixels
Eachtilehasadedicated LANconnectionandH.264decoder
Scalabilityof supported monitor count
NVENC BasedH.264 Encoding forVirtual
Machine BasedMonitorWall Architecture
R.Bundulis(rudolfs.bundulis@lu.lv),G.Arnicans (guntis.arnicans@lu.lv), and R.Gailums (rihards.gailums@rhtu.edu.lv)
UniversityofLatvia/RigaHighTechUniversity,Latvia
40. For Startups by Meetup members:
$1800 per year of FREE Azure cloud services
Free Microsoft software and tools
67. // generate 32M random numbers on host
thrust::host_vector<int> h_vec(32 << 20);
thrust::generate(h_vec.begin(),
h_vec.end(),
rand);
// transfer data to device (GPU)
thrust::device_vector<int> d_vec = h_vec;
// sort data on device
thrust::sort(d_vec.begin(), d_vec.end());
// transfer data back to host
thrust::copy(d_vec.begin(),
d_vec.end(),
h_vec.begin());
Rapid Parallel C++ Development
• Resembles C++ STL
• High-level interface
• Enhances developer
productivity
• Enables performance
portability between GPUs and
multicore CPUs
• Flexible
• CUDA, OpenMP, and TBB
backends
• Extensible and customizable
• Integrates with existing
software
• Open source
http://developer.nvidia.com/thrust or http://thrust.googlecode.com
74. Jetson TEGRA TK1
Tegra K1 SOC
• Kepler GPU with 192 CUDA cores
• 4-Plus-1 quad-core ARM Cortex A15 CPU
• 2 GB x16 memory with 64 bit width
• 16 GB 4.51 eMMC memory
• 1 Half mini-PCIE slot
• 1 Full size SD/MMC connector
• 1 Full-size HDMI port
• 1 USB 2.0 port, micro AB
• 1 USB 3.0 port, A
• 1 RS232 serial port
• 1 ALC5639 Realtek Audio codec with Mic in and Line out
• 1 RTL8111GS Realtek GigE LAN
• 1 SATA data port
• SPI 4MByte boot flash
75. NVIDIA GTX 750Ti
• Nvidia MAXWELL technology
• Cost – 170 USD
• Only 60 W of power, no dedicated power connections
• 250 MHash/sek
Vs
• Nvidia GTX 780 – 350 MHash/sek + Power cosumption
• Nvidia TESLA K40 – 560 MHash/sek + Power cosumption
76. Latvian CUDA & parallel programming
ecosystem
Next meetups, frequency
Speakers
Topics
Group marketing channels