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Nvidia cuda toolkit 7.07/28/2023 ![]() binary utilities - include cuobjdump and nvdisasm.CUDA Memcheck - command line memory and race checker tool.CUDA GDB - command line GDB-based debugger.NVCC (NVidia CUDA Compiler) - front-end compiler.The toolkit comes with following tools and libraries that allow development of CUDA applications on Power: As of this writing, version 7 is latest CUDA Toolkit release and it supports Ubuntu 14.04 ppc64le as well. Hyper-Q (allows several CPU threads/processes to dispatch CUDA kernels concurrently)Ĭ/C++ CUDA programming support for POWER8 was first introduced with CUDA Toolkit 5.5 for Ubuntu 14.10 ppc64le. Simultaneously execute 2880 CUDA cores (192 per multiprocessor)ĭynamic parallelism (ability to launch nested CUDA kernels) Simultaneously execute 4 warps (group of 32 parallel threads)ĪLU fully compliant with IEEE 754-2008 standardĦ4 KB configurable shared memory and L1 cache per multiprocessor.Ĥ8 KB read-only data cache per multiprocessor The Power S824L system comes with up to 2 Tesla K40 GPU cards (based on Kepler(TM) Architecture), each of them is able to delivery 1.43 and 4.29 Tflops of peak performance on, respectively, single and double-precision float point operations. Recently launched, the IBM Power System S824L comes into play to explore use of the NVIDIA Tesla K40 GPU combined with the latest IBM POWER8 CPU, providing a unique platform for heterogeneous high performance computing. A wide range of applications applied to technical areas such as computational vision, chemistry, bioinformatics, molecular biology, engineering and financial analysis are using heterogeneous computing systems with general purpose GPU (Graphics Processing Unit) hardware as their high performance platform of choice.
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