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Description
Linaro Forge is a comprehensive suite designed for high-performance computing (HPC) that integrates debugging and performance analysis tools to assist developers in creating dependable and optimized software for server environments. It consists of three fundamental components: Linaro DDT, a leading debugger for applications written in C, C++, Fortran, and Python; Linaro MAP, a performance profiling tool that identifies bottlenecks and recommends optimization techniques; and Linaro Performance Reports, which provide succinct, one-page overviews of application efficiency. This suite accommodates an extensive array of parallel architectures and programming frameworks, such as MPI, OpenMP, CUDA, and GPU-accelerated systems on platforms including x86-64, 64-bit Arm, as well as various CPUs and GPUs. Additionally, it features a unified user interface that simplifies the transition between debugging and profiling phases during the development process, enhancing productivity and code quality for developers working in complex environments. This streamlined approach not only improves efficiency but also empowers developers to deliver superior performance in their applications.
Description
The Lustre file system is a parallel, open-source file system designed to cater to the demanding requirements of high-performance computing (HPC) simulation environments often found in leadership class facilities. Whether you are part of our vibrant development community or evaluating Lustre as a potential parallel file system option, you will find extensive resources and support available to aid you. Offering a POSIX-compliant interface, the Lustre file system can efficiently scale to accommodate thousands of clients, manage petabytes of data, and deliver impressive I/O bandwidths exceeding hundreds of gigabytes per second. Its architecture includes essential components such as Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Lustre is specifically engineered to establish a unified, global POSIX-compliant namespace suited for massive computing infrastructures, including some of the largest supercomputing platforms in existence. With its capability to handle hundreds of petabytes of data storage, Lustre stands out as a robust solution for organizations looking to manage extensive datasets effectively. Its versatility and scalability make it a preferable choice for a wide range of applications in scientific research and data-intensive computing.
API Access
Has API
API Access
Has API
Integrations
Amazon FSx for Lustre
C
C++
Fortran
Lucide
Python
Qlustar
TrinityX
Integrations
Amazon FSx for Lustre
C
C++
Fortran
Lucide
Python
Qlustar
TrinityX
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Linaro
Founded
2010
Country
United Kingdom
Website
www.linaroforge.com
Vendor Details
Company Name
OpenSFS and EOFS
Country
United States
Website
www.lustre.org
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development