SAS® Grid Computing
Faster processing, increased resilience and improved hardware utilization
SAS Grid Computing enables SAS applications to automatically use grid computing. It efficiently allocates compute-intensive SAS applications across systems, improving hardware utilization for better application performance and resilience. With SAS Grid Computing you can scale out resources to cost-effectively and quickly add new users and meet increased processing demands.
Benefits
- Improve efficiency and increase compute hardware ROI.
- Speed up applications using existing IT infrastructure.
- Future-proof by scaling out in a cost-effective manner.
Features
- Grid-enabled SAS
- Automatic grid monitoring and management
- Dynamic resource-based load balancing
- Automatic Scaling Capabilities
“When you can get something done in one-thirtieth of the time … a reduction of that level gives you a much stronger ability to move forward with your research.”
—Peter Westfall
Director of the Center for Advanced Analytics and Business Intelligence, Texas Tech University
Texas Tech University
Screenshots
SAS Grid Computing takes SAS programs and divides them into subtasks for parallel processing.
How SAS® is Different
- Comprehensive, centrally managed intelligent grid computing functionality: automatic identification, allocation, management and optimization of computing resources and programs flows.
- Automatic selection of SMP or grid environment at run time.
- Real-time monitoring of programs and computing resources.
- Ability to automate program scheduling across two or more host machines.
Benefits
- Improve efficiency and increase compute hardware ROI. SAS Grid Manager allows you to fully utilize all computing resources in the most efficient manner. Thus you can run applications faster, handle more compute-intense workloads and serve more users without necessarily having to acquire more hardware.
- Speed up applications using existing IT infrastructure. Multiprocessing capabilities allow workflows to be processed in parallel on multiple machines. By using multiple CPUs, each running a part of a program with its own hardware resources, the time required to execute a SAS program is reduced substantially.
- Future-proof by scaling out in a cost-effective manner. Using grid technology, SAS applications can be cost-effectively scaled out, adding capacity in single processing units for incremental IT spending. This reduces processing time as well as capital expenditures on ever-larger stand-alone servers.
Features
- Grid-enabled SAS
-
- Automates session spawning and distributed processing of SAS programs across a set of diverse computing resources.
- Provides greater resilience for mission-critical applications.
- Speeds up processing of applicable SAS programs and applications and provides more efficient computing resource utilization.
- Automatically selects SMP or grid environment at run time.
- Grid-enabled SAS logic can be saved as a SAS Stored Process, which can then be used by all SAS BI clients and analytic applications.
- SAS Data Integration Studio 3.3 and SAS Enterprise Miner™ 5.2 are automatically tailored for parallel processing in a grid environment.
- Automatic grid monitoring and management
-
- SAS Grid Manager plug-in is integrated into the SAS Management Console and provides a visual interface to monitor and manage hosts, jobs, users and queues in the SAS computing grid.
- Provides centralized monitoring and management of grid status, program attributes, program priority, program termination, host queues and multiple grids.
- Provides real-time monitoring of programs and computing resources.
- Filters resource and activity information, allowing you to focus on specific aspects of grid operations.
- Dynamic resource-based load balancing
-
- Leverages industry-leading grid computing middleware from Platform Computing.
- Automates management and optimization of SAS computing grids.
- Delivers execution resilience by distributing the processing of SAS programs across multiple computers.
- Enables virtualization of resources.
- Enables job prioritization by rules-based job queues.
- Provides centrally managed intelligent grid computing functionality: automatic identification, allocation, management and optimization of computing resources and program flows.
- Offers automated program scheduling across two or more host machines.
- Improves efficiency of program distribution and CPU use.
- Automatic Scaling Capabilities
-
- Lets you cost-effectively increase the scale or scope of compute-intensive programs, add more users and run more analyses against larger volumes of data with shorter processing times.
- Schedules a wide variety of SAS jobs across grid environments for optimal resource utilization and faster processing.
Screenshots
SAS Grid Computing takes SAS programs and divides them into subtasks for parallel processing.
System Requirements
SAS servers, including Base SAS and SAS Metadata Server, can be installed on one or more hardware systems in a multitier configuration.
- AIX (64-bit): Release 5.1, 5.2, 5.3 on POWER
- HP-UX PA-RISC: Release 11i Version 1, 2 and 3*
- HP-UX Itanium: Release 11i Version 1, 2 and 3
- Linux for Intel (x86-32): Red Hat Linux 8.0, RHAS 2.1, RHEL 3.0 and 4.0, SuSE 8 and 9
- Linux for Itanium (64-bit): Red Hat RHEL 3.0
- Solaris on SPARC: Version 8, 9 and 10 on SPARC
- Solaris on x64: Version 10
- Windows (x86-32): Windows 2000 Professional, Windows XP Professional, Windows 2000 Server, Windows Server 2003, Windows NT 4 Server*
*Note: SAS Metadata Server must be installed on an alternate supported platform.
Required software
- Base SAS®
- SAS/CONNECT®
- Any application-specific software required on the servers
- SAS® Grid Manager
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
