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Description
Maxeler's cutting-edge dataflow solutions seamlessly fit into operational data centers, allowing for straightforward programming and management. These high-performance systems are specifically crafted to work within production server settings, ensuring compatibility with common operating systems and management applications. Our robust management software oversees resource allocation, scheduling, and data transfer throughout the dataflow computing framework. Furthermore, Maxeler dataflow nodes operate with standard Linux distributions, such as Red Hat Enterprise versions 4 and 5, without the need for any alterations. Any application designed for acceleration can function on a Maxeler node as a conventional Linux executable. Developers can create new applications by integrating the dataflow library into their existing code and utilizing simple function interfaces to access its capabilities. The MaxCompiler tool offers comprehensive debugging support throughout the development process, featuring a high-speed simulator that allows for code validation prior to implementation. This ensures that developers can optimize their applications effectively while minimizing the risk of errors. Additionally, Maxeler’s commitment to innovation guarantees that users can take advantage of the latest advancements in dataflow technology.
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
No
API Access
Has API
Yes
Integrations
AWS Marketplace
No
Azure Marketplace
No
Domino Enterprise AI Platform
No
Red Hat Enterprise Linux
Yes
Integrations
AWS Marketplace
Yes
Azure Marketplace
Yes
Domino Enterprise AI Platform
Yes
Red Hat Enterprise Linux
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Maxeler Technologies
Founded
2003
Country
United Kingdom
Website
www.maxeler.com/products/software/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/hpc-sdk
Product Features
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
