PPT-Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management

Author : alida-meadow | Published Date : 2018-11-04

Haonan Wang Fan Luo Mohamed Ibrahim College of William and Mary Onur Kayiran AMD Adwait Jog College of William and Mary SingleApplication Execution on GPUs

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Efficient and Fair Multi-programming in ..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management: Transcript

Haonan Wang Fan Luo Mohamed Ibrahim College of William and Mary Onur Kayiran AMD Adwait Jog College of William and Mary SingleApplication Execution on GPUs 2 GPU Kernel1 K1. , . VR Software Engineer. GameWorks VR. How is VR rendering different?. How is VR rendering different?. High framerate, low latency. 90 frames per second. Motion to photons in . ≤ 20 ms. How is VR rendering different?. Erin . Shawgo. , Marquette University. Presentation Goals. Learn how to initiate efficient programming. Learn how to minimize over programming on your college campus by using collaboration.. Over Programming. Jayesh. Gaur (Intel). Raghuram. . Srinivasan. (Ohio State). Sreenivas. . Subramoney. (Intel). Mainak. . Chaudhuri. (IIT, Kanpur). Sketch. Talk in one slide. Result highlights. Understanding the potential. Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. using BU Shared Computing Cluster. Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. , . VR Software Engineer. GameWorks VR. How is VR rendering different?. How is VR rendering different?. High framerate, low latency. 90 frames per second. Motion to photons in . ≤ 20 ms. How is VR rendering different?. High-Bandwidth, Energy-efficient DRAM Architectures for GPU systems. GPUs Demand High DRAM Bandwidth. GPUs Demand High DRAM Bandwidth. 2008: NVIDIA Tesla GT200. 512-bits @ 2.2 . Gbps. GPUs Demand High DRAM Bandwidth. Improving 3D-Stacked Memory Bandwidth at Low Cost. Donghyuk Lee, . Saugata Ghose. ,. Gennady . Pekhimenko. , Samira Khan, . Onur. . Mutlu. Carnegie Mellon University. HiPEAC. 2016. cell array. peripheral logic. K. ainz. Overview. About myself. Motivation. GPU hardware and system architecture. GPU programming languages. GPU programming paradigms. Pitfalls and best practice. Reduction and tiling examples. State-of-the-art . Scientific Computing and Visualization. Boston . University. GPU Programming. GPU – graphics processing unit. Originally designed as a graphics processor. Nvidia's. GeForce 256 (1999) – first GPU. Research Computing Services. Boston . University. GPU Programming. Access to the SCC. Login: . tuta#. Password: . VizTut#. GPU Programming. Access to the SCC GPU nodes. # copy tutorial materials: . MRNet. and GPUs. Evan . Samanas. and Ben . Welton. Density-based clustering. Discovers the number of clusters. Finds oddly-shaped clusters. 2. Mr. Scan: Efficient Clustering with . MRNet. and GPUs. Jayesh. Gaur (Intel). Raghuram. . Srinivasan. (Ohio State). Sreenivas. . Subramoney. (Intel). Mainak. . Chaudhuri. (IIT, Kanpur). Sketch. Talk in one slide. Result highlights. Understanding the potential. Royal Malaysian Customs Experience. BY. NOR HAZIAH ABD. WAHAB. DEPUTY DIRECTOR OF CUSTOMS. ROYAL MALAYSIAN CUSTOMS DEPARTMENT. PRESENTATION OUTLINE. Overview . Revenue Collection Statistics. Challenges In Revenue Collection.

Download Document

Here is the link to download the presentation.
"Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.