![]() ![]() OpenMP 4.5 for Multicore CPUs - Initial support for OpenMP 4.5 syntax and features allows the compilation of most OpenMP 4.5 programs for parallel execution across all the cores of a multicore CPU system.When OpenACC allocatable data is placed in CUDA Unified Memory using a simple compiler option, no explicit data movement code or directives are needed. ![]() OpenACC for CUDA Unified Memory - the PGI 17.7 compilers leverage CUDA Unified Memory to simplify OpenACC programming on GPU-accelerated systems.Tesla V100 GPU support - PGI OpenACC and CUDA Fortran now support the new NVIDIA Volta GV100 GPU, offering more memory bandwidth, more streaming multiprocessors, next generation NVLink and new microarchitectural features that add up to better performance and programmability. Version 17.7 of the PGI® 2017 Compilers and Tools is now available, delivering improved performance and programming simplicity to high-performance computing (HPC) developers who target multicore CPUs and heterogeneous GPU-accelerated systems.Īvailable immediately, key new features of the PGI 17.7 Compilers & Tools include: Support for NVIDIA Volta GPUs, OpenACC interoperability with CUDA Unified Memory, and OpenMP 4.5 for multicore CPUs The Portland Group Ships Major HPC Compilers and Development Tools Update PGI Accelerator Compilers Add Support for AMD APUs and GPUs PGI 2014 Brings New Level of Performance, Programming Simplicity to High Performance Computing PGI High Performance Computing Compilers Coming to IBM POWER Systems PGI Accelerator Compilers Add OpenACC Support for x86 Multicore CPUs ![]() PGI Accelerator Compilers for POWER Architecture Enable Easy On-ramp to GPU Acceleration with POWER8 and NVIDIA NVLink PGI 17.7 Compilers for Heterogeneous Supercomputing Now Available ![]()
0 Comments
Leave a Reply. |