A rate selection algorithm for quantized undithered dynamic supply voltage scaling (poster session)

ABSTRACT

In this paper we propose a novel rate calculation algorithm called Quantized Rate Selection (QRS) for quantized undithered dynamic supply voltage scaling (DSVS) systems. The algorithm monitors the total buffered workload, and where possible selects a rate value equal to a quantized rate value. At quantized rate values, energy dissipation of quantized DSVS systems approaches continuous voltage level DSVS systems. Our experimental work on FMIDCT computation using nine video sequences and a 4-level quantized undithered system shows that additional energy savings of 1.4% to 18.5% can be achieved from QRS, compared to the existing averaging technique.

REFERENCES

• 1: V. Gutnik. Variable supply voltage for low power dsp. Master's thesis, Massachusetts Institute of Technology, 1996.
• 2: Tohru Ishihara , Hiroto Yasuura, Voltage scheduling problem for dynamically variable voltage processors, Proceedings of the 1998 international symposium on Low power electronics and design, p.197-202, August 10-12, 1998, Monterey, California, United States [doi>10.1145/280756.280894]
• 3: L. McMillan and L. Westover. A forward-mapping realization of the inverse discrete cosine transform. In Data Compression Conference, pages 219-228, March 1992.
• 4: Lars S. Nielsen , Cees Niessen, Low-power operation using self-timed circuits and adaptive scaling of the supply voltage, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, v.2 n.4, p.391-397, Dec. 1994 [doi>10.1109/92.335008]

INDEX TERMS

Primary Classification:
  B. Hardware
  B.8 Performance and Reliability

Additional Classification:
  B. Hardware
  B.7 INTEGRATED CIRCUITS

General Terms:
Algorithms, Experimentation, Management

Keywords:
averaging, dynamic supply voltage scaling, quantization and dithering