PPT-CUDA Workshop, Week 4 NVVP, Existing Libraries, Q/A

Agenda Text book resources Eclipse Nsight NVIDIA Visual Profiler Available libraries Questions Certificate dispersal Optional Multiple GPUs Wheres PixelWaldo Text Book Resources. Basically a child CUDA Kernel can be called from within a parent CUDA kernel and then optionally synchronize on the completion of that child CUDA Kernel The parent CUDA kernel can consume the output produced from the child CUDA Kernel all withou t heterogeneous programming. Katia Oleinik. koleinik@bu.edu. Scientific Computing and Visualization. Boston . University. Architecture. NVIDIA Tesla M2070: . Core clock: 1.15GHz . Single instruction . 448 CUDA cores . . Acknowledgement: the lecture materials are based on the materials in NVIDIA teaching center CUDA course materials, including materials from Wisconsin (. Negrut. ), North Carolina Charlotte (. Wikinson. CUDA Platform. CUDA Parallel Computing Platform. . Hardware . . . Capabilities. GPUDirect. SMX. Dynamic Parallelism. HyperQ. Programming . Approaches. Libraries. “Drop-in” Acceleration. © Dan Negrut, . 2012. UW-Madison. Dan Negrut. Simulation-Based Engineering Lab. Wisconsin Applied Computing Center. Department of Mechanical Engineering. Department of . Electrical and Computer Engineering. Håkon Kvale . Stensland. iAD-lab, Department for Informatics. Basic 3D Graphics Pipeline. Application. Scene Management. Geometry. Rasterization. Pixel Processing. ROP/FBI/Display. Frame. Buffer. Memory. Håkon Kvale . Stensland. Simula Research Laboratory. PC Graphics Timeline. Challenges. :. Render infinitely complex scenes. And extremely high resolution. In 1/60. th. of one second (60 frames per second). #Hellomynameis…Kaye Bagshaw . and I spend my time on a myriad of tasks! Some of them help keep the library running smoothly, such as setting up electronic resources, recruitment and keeping an eye on our finances. I also carry out literature searches to support quality improvement, service development and patient care, I run some of the inductions and training we offer and occasionally (wo)man the library enquiry desk. No two days are ever alike and that’s good!. Quentin Ochem. October 4. th. , 2018. What is GPGPU?. GPU were traditionally dedicated to graphical rendering …. … but their capability is really vectorized computation. Enters General Programming GPU (GPGPU). What is CUDA?. Data Parallelism. Host-Device model. Thread execution. Matrix-multiplication . GPU revised!. What is CUDA?. C. ompute . D. evice . U. nified . A. rchitecture. Programming interface to GPU. Programming, Part 3. -- Streaming, Library and Tuning. CSCE 790: Parallel Programming Models for Multicore and . Manycore. Processors. Department of Computer Science and Engineering. Yonghong. Yan. 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. Cliff Woolley NVIDIADeveloper Technology GroupGPUCPUGPGPU Revolutionizes ComputingLatency Processor Throughput processorLow Latency or High ThroughputCPUOptimized for low-latency access to cached dat th. March . 2014. Access Rights. The Existing Framework. James Clarke, OUGO. Policy Development Workshop . Conventional vs. Unconventional Oil and Gas. Conventional drilling has to date mostly involved vertical .