Accelogic’s Sca/LAPACKrc surpasses the 1,000x speedup markup for large-scale sparse linear algebra.

The company’s recent advances in the Sca/LAPACKrc research program -through innovative hybrid CPU/GPU/FPGA computing methods- have delivered a stunning 1,000x acceleration over today’s fastest processor core for the solution of large-scale sparse matrix equations. This is a first-of-its-kind achievement in heterogeneous supercomputing.