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NVIDIA, IBM POWER용 고성능 컴파일러 개발

무슨 발표인가

  • PGI 컴파일러의 IBM POWER CPU 시스템 지원 버전 개발
  • x86 기반 GPU 가속 애플리케이션의 POWER 시스템 포팅 가능

원문 (영어)

SANTA CLARA, CA - NVIDIA (NASDAQ: NVDA) today announced that it is developing an enhanced version of the widely used PGI optimizing compilers which will allow developers to quickly develop new applications or run Linux x86-based GPU-accelerated applications on IBM POWER CPU systems with minimal effort.

The PGI optimizing Fortran, C and C++ compilers for POWER will provide a user interface, language features, parallel programming features and optimization capabilities that are identical to those available on PGI Linux x86 compilers . The new compilers also will support high performance computing (HPC) systems based on the IBM POWER architecture, including the recently announced NVIDIA GPU-accelerated IBM POWER8 systems , and additional systems under development by members of the OpenPOWER Foundation.

"Our goal is to let HPC developers recompile and run their applications on all major CPU and GPU-accelerated platforms with uniformly high performance using a common source code base," said Douglas Miles, director of PGI Compilers & Tools at NVIDIA.

"We expect most GPU-accelerated x86 applications currently built with PGI compilers will port to GPU-accelerated POWER systems with a simple re-compile." The POWER8 CPU is a massively multi-threaded processor, featuring 12 cores each capable of handling eight hardware threads simultaneously.

Originally positioned for big data and cloud server applications, the POWER8 architecture is generating strong demand from HPC customers given its many performance-oriented features, such as a high-bandwidth CAPI port (Coherent Accelerator Processor Interface) and future support for the NVLink high-speed GPU interconnect .

원문: NVIDIA News — "PGI High Performance Computing Compilers Coming To IBM POWER Systems" (2024-04-05) 공식 원문: https://nvidianews.nvidia.com/news/pgi-high-performance-computing-compilers-coming-to-ibm-power-systems

NVIDIA News
delayseconds · 2024.04.05
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← Technology

NVIDIA, IBM POWER용 고성능 컴파일러 개발

2024.04.05 · 4 min · Irang

무슨 발표인가

원문 (영어)

SANTA CLARA, CA - NVIDIA (NASDAQ: NVDA) today announced that it is developing an enhanced version of the widely used PGI optimizing compilers which will allow developers to quickly develop new applications or run Linux x86-based GPU-accelerated applications on IBM POWER CPU systems with minimal effort.

The PGI optimizing Fortran, C and C++ compilers for POWER will provide a user interface, language features, parallel programming features and optimization capabilities that are identical to those available on PGI Linux x86 compilers . The new compilers also will support high performance computing (HPC) systems based on the IBM POWER architecture, including the recently announced NVIDIA GPU-accelerated IBM POWER8 systems , and additional systems under development by members of the OpenPOWER Foundation.

"Our goal is to let HPC developers recompile and run their applications on all major CPU and GPU-accelerated platforms with uniformly high performance using a common source code base," said Douglas Miles, director of PGI Compilers & Tools at NVIDIA.

"We expect most GPU-accelerated x86 applications currently built with PGI compilers will port to GPU-accelerated POWER systems with a simple re-compile." The POWER8 CPU is a massively multi-threaded processor, featuring 12 cores each capable of handling eight hardware threads simultaneously.

Originally positioned for big data and cloud server applications, the POWER8 architecture is generating strong demand from HPC customers given its many performance-oriented features, such as a high-bandwidth CAPI port (Coherent Accelerator Processor Interface) and future support for the NVLink high-speed GPU interconnect .

원문: NVIDIA News — "PGI High Performance Computing Compilers Coming To IBM POWER Systems" (2024-04-05) 공식 원문: https://nvidianews.nvidia.com/news/pgi-high-performance-computing-compilers-coming-to-ibm-power-systems

NVIDIA News
delayseconds · 2024.04.05
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