Pre and Post-course assessments will be used to measure the effectiveness of this training and the pre and post skill and ability of participants.Approximate computing allows the introduction of inaccuracy in the computation for cost savings, such as energy consumption, chip-area, and latency. Targeting energy efficiency, approximate designs for multipliers, adders, and multiply-accumulate (MAC) have been extensively investigated in the past decade. However, accelerator designs for relatively bigger architectures have been of less attention yet. The Least Squares (LS) algorithm is widely used in digital signal processing applications, e.g., image reconstruction. This work proposes a novel LS accelerator design based on a heterogeneous architecture, where the heterogeneity is introduced using accurate and approximate processing cores. We have considered a case study of radio astronomy calibration processing that employs a complex-input iterative LS algorithm. Our proposed methodology exploits the intrinsic error-resilience of the aforesaid algorithm, where initial iterations are processed on approximate modules while the later ones on accurate modules. Our energy-quality experiments have shown up to 24% of energy savings as compared to an accurate (optimized) counterpart for biased designs and up to 29% energy savings when unbiasing is introduced. Benjamin Barrois, Olivier Sentieys, and Daniel Menard.The proposed LS accelerator design does not increase the number of iterations and provides sufficient precision to converge to an acceptable solution. The hidden cost of functional approximation against careful data sizing-A case study. Shuvra S Bhattacharyya, E.F Deprettere, Rainer Leupers, and Jarmo Takala.In Proceedings of the Design, Automation Test in Europe Conference Exhibition (DATE). DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. Vinay K Chippa, Srimat T Chakradhar, Kaushik Roy, and Anand Raghunathan.Multicarrier SAR Image Reconstruction Using Integrated MUSIC-LSE Algorithm. Analysis and characterization of inherent application resilience for approximate computing. In Proceedings of the 13th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME). SquASH: Approximate Square-Accumulate With Self-Healing.
Improving Error Resilience Analysis Methodology of Iterative Workloads for Approximate Computing. In Proceedings of the Computing Frontiers Conference. Approximate Computing: An Emerging Paradigm for Energy-Efficient Design. DRUM: A Dynamic Range Unbiased Multiplier for approximate applications. In 2015 International Conference on Computer-Aided Design (ICCAD). Download abj radio automation software free software#.Download abj radio automation software free how to#.
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