'Geforce' presentation slideshows

CUDA Programming Model Overview Memory Hierarchy and Optimization

CUDA Programming Model Overview Memory Hierarchy and Optimization. Yukai Hung a0934147@gmail.com Department of Mathematics National Taiwan University. Warp Occupancy. Warp Occupancy. Warp occupancy - number of warps running on a multiprocessor concurrently

921 views • 79 slides

466 views • 37 slides

Synergistic Execution of Stream Programs on Multicores with Accelerators

Synergistic Execution of Stream Programs on Multicores with Accelerators. Abhishek Udupa et. al. Indian Institute of Science. Abstract. Orchestrating the execution of a stream program on a multicore platform with an accelerator [GPUs, CellBE]

313 views • 22 slides

Parallelization and CUDA libraries

Parallelization and CUDA libraries. Lei Zhou, Yafeng Yin, Hong Man. Outline. GPU & CUDA Manually CUDA Coding CUDA Library FIR Realization Auto Parallelizing Tool. GPU & CUDA. GPUs are massively multithreaded many core chips Hundreds of scalar processors

425 views • 16 slides

Project Management

Project Management. Team: Kagarelo. Kale Bullen. Garry Smith. Reece Conn. Lou Hely. Project: Rural Internet Kiosk. Information.

235 views • 11 slides

GPUs and Accelerators

174 views • 9 slides

PS2 Highlights Is the best system because that is the one I own.

PS2 Highlights Is the best system because that is the one I own. Technical Specs Overview Emotion Engine CPU @ 300 MHz Uses Extended MIPS III RISC instruction set Three Independent Floating-Point Processors (1 FPU and 2 vector units) 128-bit SIMD extension 10 DMA channels

231 views • 7 slides