In modern ICs, the trend of integrating more on-chip memories on a die has led SRAMs to account for a large fraction of total area and energy of a chip. Therefore, designing memories with dynamic voltage scaling (DVS) capability is important since significant active as well as leakage power savings can be achieved by voltage scaling. However, optimizing circuit operation over a large voltage range is not trivial due to conflicting trade-offs of low-voltage (moderate and weak inversion) and high-voltage (strong inversion) transistor characteristics. Specifically, low-voltage operation requires various assist circuits for functionality which might severely impact high-voltage performance. Reconfigurable assist circuits provide the necessary adaptability for circuits to adjust themselves to the requirements of the voltage range that they are operating in. This paper presents a 64 kb reconfigurable SRAM fabricated in 65 nm low-power CMOS process operating from 250 mV to 1.2 V. This wide supply range was enabled by a combination of circuits optimized for both subthreshold and above-threshold regimes and by employing hardware reconfigurability. Three different write-assist schemes can be selectively enabled to provide write functionality down to very low voltage levels while preventing excessive power overhead. Two different sense-amplifiers are implemented to minimize sensing delay over a large voltage range. A prototype test chip is tested to be operational at 20 kHz with 250 mV supply and 200 MHz with 1.2 V supply. Over this range leakage power scales by more than 50 X and a minimum energy point is achieved at 0.4 V with less than 0.1 pJ/bit/access.

No abstract

Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom processor, which is designed to support a new Self-aware Computing (SEEC) model. In SEEC, applications explicitly state goals, while other systems components provide actions that the SEEC runtime system can use to meet those goals. Angstrom supports this model by exposing sensors and adaptations that traditionally would be managed independently by hardware. This exposure allows SEEC to coordinate hardware actions with actions specified by other parts of the system, and allows the SEEC runtime system to meet application goals while reducing costs (e.g., power consumption).

Circuits such as logic cells, static random access memories, analog-digital converters and dc-dc converters can be used as building blocks for applications that can function efficiently over a wide range of supply voltages.ABSTRACT | Energy efficiency of electronic circuits is a critical concern in a wide range of applications from mobile multimedia to biomedical monitoring. An added challenge is that many of these applications have dynamic workloads. To reduce the energy consumption under these variable computation requirements, the underlying circuits must function efficiently over a wide range of supply voltages. This paper presents voltage-scalable circuits such as logic cells, SRAMs, ADCs, and dc-dc converters. Using these circuits as building blocks, two different applications are highlighted. First, we describe an H.264/AVC video decoder that efficiently scales between QCIF and 1080p resolutions, using a supply voltage varying from 0.5 V to 0.85 V. Second, we describe a 0.3 V 16-bit microcontroller with on-chip SRAM, where the supply voltage is generated efficiently by an integrated dc-dc converter. Fig. 5. Trend in minimum energy point of a 32 b adder with process scaling using predictive models [31].

No abstract

No abstract

The H.264/AVC video coding standard can deliver high compression efficiency at a cost of increased complexity and power. The increasing popularity of video capture and playback on portable devices requires that the power of the video codec be kept to a minimum. This work implements several architecture optimizations such as increased parallelism, pipelining with FIFOs, multiple voltage/frequency domains, and custom voltage-scalable SRAMs that enable low voltage operation to reduce the power of a high-definition decoder. Dynamic voltage and frequency scaling can efficiently adapt to the varying workloads by leveraging the low voltage capabilities and domain partitioning of the decoder. An H.264/AVC Baseline Level 3.2 decoder ASIC was fabricated in 65-nm CMOS and verified. For high definition 720p video decoding at 30 frames per second (fps), it operates down to 0.7 V with a measured power of 1.8 mW, which is significantly lower than previously published results. The highly scalable decoder is capable of operating down to 0.5 V for decoding QCIF at 15 fps with a measured power of 29 W.

No abstract