A Fast, Hybrid, Power-Efficient High-Precision Solver for Large Linear Systems Based on Low-Precision Hardware
An actual hybrid multi-accelerator system, combining the individual strengths of CPU, GPU, and FPGA architectures. The solver performs the bulk of the computation with significantly reduced precision to optimize power and performance. Iterative method guarantees high-precision result. To achieve swift convergence, precision must be dynamically adaptable.
gpu hybrid computing heterogeneous computing hardware acceleration power-efficient linear system solving field programmable gate arrays