PPT-PA0 – Hello CUDA CUDA Compute Unified Device Architecture

Defines much more than an API A language Hardware Specifications PA0 Lets look into your first assignment and figure some things out HELLOCUDACU HELLOCUDACU Pointers to GPU land deva. 4 4 4 4 TOOT TOOT TOOTSIE Toot Toot Tootsie good bye Toot Toot Tootsie dont cry The choo choo train that takes me away from you no words can tell how sad it makes me Kiss me Tootsie and then do it over gain Watch for the mail Ill never fail if you d 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 I went hiking with Joe Spivey he developed poison ivy You re member Leonard Skinner He got ptomaine poisoning last night after dinner All the counselors hate the waiters and the lake has alli gators And the head coach wants no sissies so he reads to sourceresult Hello....And Hello....And Hello....And Hello....And one,...,three one,...,three Hello...and Hello...and Hello!...And Hello!...And Figure1:ExamplesofcorrectusageofPartI1TextEllipsesThemacr 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. 2CHAPTER1.ATOUROFCOMPUTERSYSTEMS code/intro/hello.c 1 #includestdio.h&#x-2.2;䥢 23 intmain() 4 { 5 printf("hello,world\n"); 6 } code/intro/hello.cFigure1.1:Thehelloprogram.1.1InformationIsBits+C GPGPU Programming in CUDA. Supada . Laosooksathit. NVIDIA Hardware Architecture. Host. memory. Recall. 5 steps for CUDA Programming. Initialize device. Allocate. device memory. Copy. data to device memory. The State of the Industry. A . . . Martin B. Isaksen. . Microsoft . DoD. CTO. . misaksen@microsoft.com. i. o. -premises Capabilities. Agenda. Unified Communications . Interoperability. Martin Burtscher. Department of Computer Science. High-End CPUs and GPUs. Xeon X7550 Tesla C2050. Cores 8 (superscalar) 448 (simple). Active threads 2 per core 48 per core. Frequency 2 GHz 1.15 GHz. introduce the use of multiple CUDA streams to overlap memory transfers with kernel computations.. Also introduced is paged-locked memory. 2. Page-locked host memory. (also called pinned host memory). Agenda. Text book / resources. Eclipse . Nsight. , NVIDIA Visual Profiler. Available libraries. Questions. Certificate dispersal. (Optional) Multiple GPUs: Where’s Pixel-Waldo?. Text Book / Resources. Cliff Woolley NVIDIADeveloper Technology GroupGPUCPUGPGPU Revolutionizes ComputingLatency Processor Throughput processorLow Latency or High ThroughputCPUOptimized for low-latency access to cached dat May 8-Stephen Jones GTC 2018CUDANEW FEATURESAND BEYOND22CUDA ECOSYSTEM 2018CUDADOWNLOADS IN 20173500000CUDA REGISTERED DEVELOPERS800000GTC ATTENDEES80003CUDA DEVELOPMENT ECOSYSTEMFrom Ease of Use to S