Titlebook: Reconfigurable Computing: Architectures, Tools and Applications; 9th International Sy Philip Brisk,José Gabriel Figueiredo Coutinho,Pedr Co

Abrade

Parametric Optimization of Reconfigurable Designs Using Machine Learningmeters are optimized with meta-heuristics. We evaluate our approach using two case studies, showing that the number of benchmark evaluations can be reduced by up to 85% compared to previously performed manual optimization.

吼叫

Performance Modeling of Pipelined Linear Algebra Architectures on FPGAsations, linear algebra computations are the main contributors to their total execution time. Hence, five relevant linear algebra computations are selected, analyzed, and the accuracy of the model is validated against implemented designs.

Priapism

Hierarchical and Multiple Switching NoC with Floorplan Based Adaptabilitys adapting the network at runtime using three switching possibilities to reconfigure itself according to the floorplan information. HASIN allows increasing the throughput up to 77% and reducing the power consumption up to 76% when compared to a packet-switched mesh network-on-chip.