IBM Releases New Compilers to Exploit POWER9 Technology

December 15, 2017

Dec. 15, 2017 — On Dec 15, IBM released new compilers, XL C/C++ for Linux V13.1.6 and XL Fortran for Linux V15.1.6, to support the latest Power Systems server AC922 and NVIDIA GPU Volta. 

Image courtesy of IBM.

“The new C/C++ and Fortran compilers provide full exploitation of POWER9 technology for industry-leading performance and optimize HPC and Cognitive workloads through GPU acceleration, and is ideal for HPC clients, scientists, and AI leads,” says IBM. 

The POWER9 exploitation features, including a number of new POWER9 built-in functions and high-performance libraries tuned for POWER9, allow the development of optimized applications that utilize the latest POWER9 technology.

The IBM XL compilers’ support for OpenMP 4.5 is enhanced in this new release – new SIMD directives are added and functionality for existing directives is expanded to provide further exploitation and effective programming on GPU.

CUDA Fortran support is also improved to provide better performance for kernels, more functions and customized GPU configurations.

“With the best overall optimization for both CPU & GPU, XL Compilers are positioned as the performance-driven compiler brand on Power Systems to unlock HPC & Cognitive workloads. XL compilers are the ultimate choice to solve massive, complex computing tasks,” said the offering manager of IBM XL compilers.

Other key features of XL C/C++ for Linux V13.1.6 and XL Fortran for Linux V15.1.6 include:

  • Adoption of Clang V4.0 frond-end technology – XL C/C++ for Linux adopts Clang V4.0 frond-end technology, which provides a large degree of compatibility with GCC. Migration to XL C/C++ for Linux is now easy and seamless. More C++14 language features are supported, such as binary integer literals, digit separators, relaxing constraints on constexpr functions, return type deduction for normal functions, etc.
  • OpenMP interoperability with CUDA C/C++ and CUDA Fortran – Development of more portable applications is enabled by calling kernels written in CUDA C/C++ or CUDA Fortran in OpenMP programs from the host.
  • Support for CUDA Toolkit 9.0 and 9.1 – Support for the CUDA Toolkit has been upgraded to CUDA Toolkit version 9.0 and 9.1. The sm_70 and compute_70 GPU architectures are supported as defined by the CUDA Toolkit.
  • Specification of GPU architectures for the generated code – The new -qtgtarch option allows specifying the real or virtual GPU architectures where the code can run, overriding the default GPU architecture. The compiler can take maximum advantage of the capabilities and machine instructions which are specific to a GPU architecture, or common to a virtual architecture.
  • Support for the cuda-memcheck tool – A new environment variable is provided to control whether to disable the check for pinned memory in the runtime and allow the program to be executed under the cuda-memcheck tool from the NVIDIA CUDA Toolkit.
  • Pass LLVM IR bitcode libraries to llvm2ptx – LLVM IR bitcode libraries, which have a suffix of .bc, can be specified on the command line, to pass the LLVM IR bitcode libraries to llvm2ptx, the NVVM-IR to PTX translator.
  • GPU runtime inlining support for inlining calls made to the OpenMP GPU runtime libraries – This enhancement reduces overhead and significantly improves performance of OpenMP target regions that are offloaded to the accelerator.
  • Improved GPU code generation – This enhancement applies to several OpenMP directives when contained in an OpenMP target region, most notably parallel loops and reductions.

For a complete list of new XL compilers features, navigate to “What’s new” from XL C/C++ for Linux V13.1.6 documentation and XL Fortran for Linux V15.1.6 documentation on IBM Knowledge Center.

Download no-charge Community Edition and get started

The no-charge XL C/C++ for Linux and XL Fortran for Linux Community Editions are refreshed with all new functionalities, and allow for unlimited production use. They can be downloaded from the XL C/C++ for Linux and XL Fortran for Linux Marketplace website. The XL C/C++ for Linux and XL Fortran for Linux documentation on IBM Knowledge Center can guide new users through installation and basic compilation tasks. Though no official support is offered with the Community Edition, IBM compilers experts answer users’ feedback to the Community Edition raised at the XL on POWER Fortran Community Edition forum (ibm.biz/xl-power-compilers) to help users solve problems. 


Source: IBM

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire