Algorithms and design: the CRAY APP shared-memory system
Brad Carlile · 2002
Analysis of fundamental algorithms of computational science drove the design of the CRAY APP system. The important characteristics central to many applications are exploited through the use of shared-memory programming techniques using existing compiler technology. A cluster-capable 84-processor system, the CRAY APP, provides a flat shared memory, low memory latency, fast barrier synchronization, and hardware-assisted parallel support. A patented crossbar/bus architecture provides system economy. Deterministic system behavior allows the compilers to view the system as a single virtual processor. For even higher performance, multiple CRAY APPs can be clustered. Cluster configurations may also contain a globally accessible memory. High-bandwidth low-latency connections allow this configuration to be effective for applications that require more performance than one CRAY APP.>