Computer organization and design (2nd ed.): the hardware/software interface
Computer organization and design (2nd ed.): the hardware/software interface
Automatic detection of recurring operation patterns
CODES '99 Proceedings of the seventh international workshop on Hardware/software codesign
Challenges in clockgating for a low power ASIC methodology
ISLPED '99 Proceedings of the 1999 international symposium on Low power electronics and design
Automating RT-level operand isolation to minimize power consumption in datapaths
DATE '00 Proceedings of the conference on Design, automation and test in Europe
Deterministic Clock Gating for Microprocessor Power Reduction
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
Benefits and Costs of Power-Gating Technique
ICCD '05 Proceedings of the 2005 International Conference on Computer Design
Power Gating with Multiple Sleep Modes
ISQED '06 Proceedings of the 7th International Symposium on Quality Electronic Design
Analog-digital partitioning for low-power UWB impulse radios under CMOS scaling
EURASIP Journal on Wireless Communications and Networking
Design of 100 µW wireless sensor nodes on energy scavengers for biomedical monitoring
SAMOS'07 Proceedings of the 7th international conference on Embedded computer systems: architectures, modeling, and simulation
A low-power ASIP for IEEE 802.15.4a ultra-wideband impulse radio baseband processing
Proceedings of the Conference on Design, Automation and Test in Europe
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Impulse Radio-based Ultra-Wideband (UWB) technology is a strong candidate for the implementation of ultra low power air interfaces in low data rate sensor networks. A major challenge in UWB receiver design is the lowpower implementation of the relatively complex digital baseband algorithms that are required for timing acquisition and data demodulation. Silicon Hive offers low-power application specific instruction set processor (ASIP) solutions. In this paper we target the low-power implementation of an UWB receiver's digital baseband algorithm on an ASIP, based on Silicon Hive's solutions. We approach the problem as follows. First we implement the algorithm on an existing ASIP and analyze the power consumption. Next we apply optimizations such as algorithmic simplification, adding a loopcache and adding custom operations to lower the dissipation of the ASIP. The resulting ASIP consumes 0.98 nJ (with a spreading factor of 16) per actual data bit, which is lower than an existing application specific integrated circuit (ASIC).