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B. Maity, M. Shoushtari, A. Rahmani, N. Dutt:
"Self-adaptive Memory Approximation: A Formal Control Theory Approach";
IEEE Embedded Systems Letters, X (2019), 1 - 4.

Memory approximation enables trading off qual-ity/accuracy for performance or energy gains. Traditionally,application programmers are burdened with the difficult taskof setting memory approximation knobs to achieve the desiredquality of service (QoS). Our self-adaptive approach for memoryapproximation eases the programmer´s burden: simply specifythe desired quality as a goal, with the system deploying a formalcontrol-theoretic approach to tune the memory approximationknobs and deliver a guaranteed QoS. We model quality con-figuration tracking as a formal quality control problem, andoutline a System Identification technique that captures memoryapproximation effects with variations in application input andsystem architecture. Preliminary results show that we can allevi-ate the programmer´s burden of manual knob tuning for on-chipmemory approximation. When compared to a manual calibrationscheme we achieve 3×improvement in average settling time andupto 5×improvement in best case settling time.

http://dx.doi.org/10.1109/LES.2019.2941018