PPT-OPENCL OVERVIEW

OpenCL Commercial Objectives Grow the market for parallel computing For vendors of systems silicon middleware tools and applications Open royaltyfree standard for heterogeneous parallel computing . - A Full System Emulator for HSA Platform. Prof. . Yeh-Ching. Chung. System Software Laboratory. Department of Computer science . National . Tsing. . Hua. University. 1. Outline. Introduction to HSA. Robert . Senser. October 29, 2014. 1. GPU DECLARATIVE . FRAMEWORK:. DEFG. PhD Committee:. Gita . Alaghband. (chair). Tom . Altman (advisor). Michael . Mannino. Boris . Stilman. . Tam . Vu. Presentation Outline. OpenCL. Programs on Multiple Heterogeneous Devices. Prasanna Pandit. R. . Govindarajan. Supercomputer Education and Research Centre. Indian Institute of Science, Bangalore. CGO—2014. Outline. Introduction. High-Level Synthesis for Mainstream FPGA Acceleration. James . Coole. PhD student, University of . Florida. Dr. . Greg . Stitt. Associate . Professor of ECE, University of Florida. SHAW Workshop. This work is supported by National Science Foundation grant CNS-1149285 and the I/UCRC Program of the National Science Foundation under Grant No. EEC-0642422.. Antonio J. Peña, . Wesley Bland. , . Pavan. . Balaji. Background. We can see that coprocessors are a clear trend in HPC. About . 34. % of the performance on the . November. Top500 list . (. 18. % . Processing . on OpenCL-based FPGAs. Zeke Wang. , Johns Paul, Hui Yan Cheah . (. NTU,. . Singapore), . Bingsheng He (. NUS,. Singapore), . Wei Zhang (HKUST, Hong Kong). 1. Outline. Background and Problem. James . Coole. PhD student, University of . Florida. Aaron . Landy. PhD student, University of Florida. Greg . Stitt. Associate . Professor of ECE, University of Florida. Catapult Workshop. This work is supported by National Science Foundation grant CNS-1149285 and the I/UCRC Program of the National Science Foundation under Grant No. EEC-0642422.. Instructor Notes. Lecture discusses parallel implementation of a simple embarrassingly parallel nbody algorithm. We aim to provide some correspondence between the architectural techniques discussed in the optimization lectures and a real scientific computation algorithm. on OpenCL-based FPGAs. Zeke Wang. , Johns Paul, Hui Yan Cheah . (. NTU,. . Singapore), . Bingsheng He (. NUS,. Singapore), . Wei Zhang (HKUST, Hong Kong). 1. Outline. Background and Problem. Challenges. heterogenous. devices. Devices can consist of CPUs, . GPUs. , embedded processors etc – uses all the processing resources available. Includes a language based on C99 for writing kernels and API used to define and control the devices. Optimizing OpenCL . Applications on FPGAs. Zeke Wang . (NTU Singapore), . Bingsheng He (NTU Singapore), . Wei Zhang (HKUST). ，. Shunning Jiang (Cornell). 1. Outline. Background and Motivations. Performance Analysis Framework. kihívások és lehetőségek. *. embarassingly. parallel. Hatékony, alacsony-szintű absztrakció. Nyílt platform soha nem látott változatosságú hardverek programozására (CPU, GPU, APU, . accelerator. Group 2014 - Page 1 OpenCL DevU GDC, March 2014 Neil Trevett Vice President Mobile Ecosystem, NVIDIA President Khronos The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand