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Description

There's no requirement to modify your coding practices or the methods you use to develop your projects. You can conduct profiling for applications that operate on multiple servers and involve various processes, providing clear insights into potential bottlenecks related to I/O, computational tasks, threading, or multi-process operations. You'll gain a profound understanding of the specific types of processor instructions that impact your overall performance. Additionally, you can monitor memory usage over time, allowing you to identify peak usage points and fluctuations throughout the entire memory landscape. Arm MAP stands out as a uniquely scalable profiler with low overhead, available both as an independent tool and as part of the comprehensive Arm Forge debugging and profiling suite. It is designed to assist developers of server and high-performance computing (HPC) software in speeding up their applications by pinpointing the root causes of sluggish performance. This tool is versatile enough to be employed on everything from multicore Linux workstations to advanced supercomputers. You have the option to profile realistic scenarios that matter the most to you while typically incurring less than 5% in runtime overhead. The user interface is interactive, fostering clarity and ease of use, making it well-suited for both developers and computational scientists alike, enhancing their productivity and efficiency.

Description

The NVIDIA HPC Software Development Kit (SDK) offers a comprehensive suite of reliable compilers, libraries, and software tools that are crucial for enhancing developer efficiency as well as the performance and adaptability of HPC applications. This SDK includes C, C++, and Fortran compilers that facilitate GPU acceleration for HPC modeling and simulation applications through standard C++ and Fortran, as well as OpenACC® directives and CUDA®. Additionally, GPU-accelerated mathematical libraries boost the efficiency of widely used HPC algorithms, while optimized communication libraries support standards-based multi-GPU and scalable systems programming. The inclusion of performance profiling and debugging tools streamlines the process of porting and optimizing HPC applications, and containerization tools ensure straightforward deployment whether on-premises or in cloud environments. Furthermore, with compatibility for NVIDIA GPUs and various CPU architectures like Arm, OpenPOWER, or x86-64 running on Linux, the HPC SDK equips developers with all the necessary resources to create high-performance GPU-accelerated HPC applications effectively. Ultimately, this robust toolkit is indispensable for anyone looking to push the boundaries of high-performance computing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Arm Forge
Azure Marketplace
Domino Enterprise AI Platform
Fortran
LaunchX
NetsPresso
Python

Integrations

AWS Marketplace
Arm Forge
Azure Marketplace
Domino Enterprise AI Platform
Fortran
LaunchX
NetsPresso
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Arm

Country

United Kingdom

Website

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

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/hpc-sdk

Product Features

HPC

Product Features

HPC

Alternatives

Alternatives

TotalView Reviews

TotalView

Perforce
CUDA Reviews

CUDA

NVIDIA