SDSC Compute & Data Resource Guides
SDSC provides and supports a wide range of computing resources for the research community. These resources are available for use through a peer-reviewed system to academic researchers in the U.S. All machines are available for allocated use unless specified. Detailed system information on each machine is also available in the TeraGrid Resources Catalog.
IBM Power4 DataStarRated at 15.6 teraflops of computing power, DataStar is SDSC's flagship IBM terascale machine, especially suitable for data intensive computations with 284 nodes. DataStar User Guide > |
IA-64 Linux ClusterSDSC's IA-64 cluster currently consists of 262 IBM cluster nodes, each with dual 1.5 GHz Intel® Itanium® 2 processors, for a peak performance of 4.0 teraflops. IA-64 Cluster User Guide > |
IBM BlueGene/LWith 3,072 compute nodes and rated at 17.2 teraflops, BlueGene provides a glimpse into the future of cost-effective compute power in a small package. BlueGene User Guide > |
Storage Resource Broker (SRB)A client-server middleware connecting to heterogeneous data resources over a network and accessing replicated data sets. SRB User Guide > |
High Performance Storage System (HPSS)A centralized, long-term data storage system. HPSS has the capacity to store 25 PB of data, and data is added at a rate exceeding 100 TB a month. HPSS User Guide > |
SAM-QFSA high-performance archival storage system at SDSC. It allows users to directly access data using a disk cache filesystem, then automatically migrates the data to tape. SAM-QFS User Guide > |
OnDemand ClusterA Rocks cluster with Intel dual-socket, dual-core compute nodes. The 2.0 GHz, 32-way nodes have 8 GB of memory. OnDemand has a nominal theoretical peak performance of 2.4 TFlops. OnDemand User Guide > |
Global Parallel File System - Wide Area Network (GPFS-WAN)A centralized file system for long- or short-term data storage of high-volume multi-site runs, as well as large TeraGrid-based data collections. GPFS-WAN is a 613-TB storage system mounted on several TeraGrid platforms. GPFS-WAN User Guide. |










