The Open Spatial Programming Language (OpenSPL) consortium today announced a new programming standard known as OpenSPL to enable the next generation of high performance parallel spatial computers.

In a spatial computer, programs execute in space rather than in time sequence. Application dataflow is laid out in space on a chip and every operation executes in parallel. This revolutionary view of computing offers dramatic increases in performance, performance/Watt and performance/cubic foot compared to conventional instruction-processor machines. By providing deterministic throughput and latency at low power, spatial computing enables the next generation of line-rate data processing applications in environments ranging from high performance computing and data center networks to the Internet of Things.

The OpenSPL consortium represents both end users and technology providers, bringing together Chevron, CME Group, Juniper Networks and Maxeler Technologies as well as leading universities Imperial College London, Stanford University, University of Tokyo and Tsinghua University.