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What is NVIDIA HPC SDK?

The NVIDIA HPC Software Development Kit (SDK) provides a thorough collection of dependable compilers, libraries, and software tools that are essential for improving both developer productivity and the performance and flexibility of HPC applications. Within this SDK are compilers for C, C++, and Fortran that enable GPU acceleration for modeling and simulation tasks in HPC by utilizing standard C++ and Fortran, alongside OpenACC® directives and CUDA®. Moreover, GPU-accelerated mathematical libraries enhance the effectiveness of commonly used HPC algorithms, while optimized communication libraries facilitate standards-based multi-GPU setups and scalable systems programming. Performance profiling and debugging tools are integrated to simplify the transition and optimization of HPC applications, and containerization tools make deployment seamless, whether in on-premises settings or cloud environments. Additionally, the HPC SDK is compatible with NVIDIA GPUs and diverse CPU architectures such as Arm, OpenPOWER, or x86-64 operating on Linux, thus equipping developers with comprehensive resources to efficiently develop high-performance GPU-accelerated HPC applications. In conclusion, this powerful toolkit is vital for anyone striving to advance the capabilities of high-performance computing, offering both versatility and depth for a wide range of applications.

What is Arm MAP?

There is no need to alter your current code or the methods of construction you are using. Profiling is a critical aspect for applications that run on multiple servers and processes, as it provides clear insights into performance issues related to I/O, computational tasks, threading, and multi-process operations. By utilizing profiling, developers gain a thorough understanding of the types of processor instructions that can affect performance metrics significantly. Additionally, monitoring memory usage trends over time enables you to pinpoint peak consumption levels and shifts in memory usage across the entire system. Arm MAP is recognized as a highly scalable and low-overhead profiling tool that can operate either independently or as part of the Arm Forge suite, which is specifically tailored for debugging and profiling tasks. This tool is particularly beneficial for developers working on server and high-performance computing (HPC) applications, as it reveals the fundamental causes of slow performance, making it suitable for everything from multicore Linux workstations to sophisticated supercomputers. You can efficiently profile the realistic test scenarios that are most pertinent to your work while typically incurring less than 5% overhead in runtime. The interactive interface is designed for clarity and usability, addressing the specific requirements of both developers and computational scientists, making it an indispensable asset for optimizing performance. Ultimately, leveraging such tools can significantly enhance your application's efficiency and responsiveness.

Media

Media

Integrations Supported

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform

Integrations Supported

Arm Forge
Fortran
LaunchX
NetsPresso
Python

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/hpc-sdk

Company Facts

Organization Name

Arm

Company Location

United Kingdom

Company Website

www.arm.com/products/development-tools/server-and-hpc/forge/map

Categories and Features

HPC

Not specified

Categories and Features

HPC

Not specified

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