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Sun Grid Engine 6.1

Features & Benefits

Sun Grid Engine 6.1
 
   Features and Benefits
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Features
Feature
Function
Benefit
Flexible Resource Quotas
Allows limiting the maximum number of running jobs per user, user group, and projects on arbitrary resources like queues, hosts, memory, software licenses.
Allows flexible allocation of grid resources according to policies.
Boolean Expressions
Allows a user to specify a job's resource requirements using simple compound logical expressions. For example, a user could request that a job runs on a host which fulfills the condition "Solaris or Linux but not Linux on IA64".
Ability to fine tune the grid resource to the most important projects in real time.
Latest Standard Applications API (DRMAA) 1.0
Distributed Resource Management Application API (DRMAA) is a set of standard APIs developed by the Global Grid Forum for application builders, portal builders and ISV's. Release 6.1 supports the latest C and Java bindings of DRMAA 1.0. Additionally, the following are provided for backward compatibility: DRMAA 0.5 Java binding and DRMAA 0.95 C binding.
ISV's can easily integrate their applications with Sun Grid Engine 6.1 without having to learn the internals of Sun Grid Engine.
Sun Grid Engine 6.1 Accounting and Reporting Console
Sun Grid Engine 6.1 saves job accounting information into a relational database (Supported Databases are Oracle, MySQL and PostgreSQL - see support matrix). Users can generate usage reports, e.g. Accounting per department/project/user, number of jobs completed etc.
With the Accounting and Reporting Console it is easy to determine how compute resources are being used. Data can sent to an external billing module for invoicing, cross-charging etc.
Heterogeneous platform support
Sun Grid Engine 6.1 supports all major operating systems and platforms. See the support matrix.
Maximizes flexibility and usage of IT assets.
Cluster Queues
A queue may span more than one execution host.
Allows managing thousands of hosts with a few simple commands.
Resource Reservations and Backfilling
The grid is filled with smaller jobs while the large jobs are being scheduled to execute.
Allows large, compute-intensive jobs to automatically be scheduled and run without sacrificing utilization.
Array jobs
Provides repeated execution of the same (or very similar) set of operations, for example during graphical rendering of multiple frames.
Maximizes efficiency of designers and engineers using the grid.
Parallel environment (PE) management
Manages parallel applications (MPI or PVM enabled) through a dedicated interface.
Allow rapid completion of demanding design and financial computations using parallel processing.
Policy-based resource allocation
Allows distribution of resources to teams or departments, e.g. proportionally to their financial contribution.
Allocates compute power according to business policies.

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