This document summarizes VPU and GPGPU technologies. It discusses that a VPU is a visual processing unit, also known as a GPU. GPUs have massively parallel architectures that allow them to perform better than CPUs for some complex computational tasks. The document then discusses GPU architecture including stream processing, graphics pipelines, shaders, and GPU clusters. It provides an example of using CUDA for GPU computing and discusses how GPUs are used for general purpose computing through frameworks like CUDA.
Highlighted notes of:
Introduction to CUDA C: NVIDIA
Author: Blaise Barney
From: GPU Clusters, Lawrence Livermore National Laboratory
https://computing.llnl.gov/tutorials/linux_clusters/gpu/NVIDIA.Introduction_to_CUDA_C.1.pdf
Blaise Barney is a research scientist at Lawrence Livermore National Laboratory.
Highlighted notes of:
Introduction to CUDA C: NVIDIA
Author: Blaise Barney
From: GPU Clusters, Lawrence Livermore National Laboratory
https://computing.llnl.gov/tutorials/linux_clusters/gpu/NVIDIA.Introduction_to_CUDA_C.1.pdf
Blaise Barney is a research scientist at Lawrence Livermore National Laboratory.
Using GPUs to handle Big Data with Java by Adam Roberts.J On The Beach
Modern graphics processing units (GPUs) are efficient general-purpose stream processors. Learn how Java can exploit the power of GPUs to optimize high-performance enterprise and technical computing applications such as big data and analytics workloads. This presentation covers principles and considerations for GPU programming from Java and looks at the software stack and developer tools available. It also presents a demo showing GPU acceleration and discusses what is coming in the future.
Graphics processing unit or GPU (also occasionally called visual processing unit or VPU) is a specialized microprocessor that offloads and accelerates graphics rendering from the central (micro) processor. Modern GPUs are very efficient at manipulating computer graphics, and their highly parallel structure makes them more effective than general-purpose CPUs for a range of complex algorithms. In CPU, only a fraction of the chip does computations where as the GPU devotes more transistors to data processing.
GPGPU is a programming methodology based on modifying algorithms to run on existing GPU hardware for increased performance. Unfortunately, GPGPU programming is significantly more complex than traditional programming for several reasons.
Multi-faceted Microarchitecture Level Reliability Characterization for NVIDIA...Stefano Di Carlo
These slides have been presented by Dr. Alessandro Vallero at the IEEE VLSI Test Symposium, San Francisco, CA, USA (April 22-25, 2018).
General Purpose computing on Graphics Processing Unit offers a remarkable speedup for data parallel workloads, leveraging GPUs computational power. However, differently from graphic computing, it requires highly reliable operation in most of application domains.
This presentation talk about a “Multi-faceted Microarchitecture Level Reliability Characterization for NVIDIA and AMD GPUs“. The work is the outcome of a collaboration between the TestGroup of Politecnico di Torino (http://www.testgroup.polito.it) and the Computer Architecture Lab of the University of Athens (dscal.di.uoa.gr) started under the FP7 Clereco Project (http://www.clereco.eu). It presents an extended study based on a consolidated workflow for the evaluation of the reliability in correlation with the performance of four GPU architectures and corresponding chips: AMD Southern Islands and NVIDIA G80/GT200/Fermi. We obtained reliability measurements (AVF and FIT) employing both fault injection and ACE-analysis based on microarchitecture-level simulators. Apart from the reliability-only and performance-only measurements, we propose combined metrics for performance and reliability (to quantify instruction throughput or task execution throughput between failures) that assist comparisons for the same application among GPU chips of different ISAs and vendors, as well as among benchmarks on the same GPU chip.
Watch the presentation at: https://youtu.be/GV5xRDgfCw4
Paper Information:
Alessandro Vallero§ , Sotiris Tselonis, Dimitris Gizopoulos* and Stefano Di Carlo§, “Multi-faceted Microarchitecture Level Reliability Characterization for NVIDIA and AMD GPUs”, IEEE VLSI Test Symposium 2018 (VTS 2018), San Francisco, CA (USA), April 22-25, 2018.
∗Politecnico di Torino, Italy. Email: stefano.dicarlo,alessandro.vallero@polito.it †University of Athens, Greece Email: dgizop@di.uoa.gr
Presentation I gave at the SORT Conference in 2011. Was generalized from some work I had done with using GPUs to accelerate image processing at FamilySearch.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Embracing GenAI - A Strategic ImperativePeter 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.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.