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IEICE Transactions on Electronics

30GHz Operation of Single-Flux-Quantum Arithmetic Logic Unit Implemented by Using Dynamically Reconfigurable Gates

Yuki Yamanashi, Shohei Nishimoto, Nobuyuki Yoshikawa

Published Jan 1, 2016• 1 citation
Publisher

Abstract

A single-flux-quantum (SFQ) arithmetic logic unit (ALU) was designed and tested to evaluate the effectiveness of introducing dynamically reconfigurable logic gates in the design of a superconducting logic circuit. We designed and tested a bit-serial SFQ ALU that can perform six arithmetic/logic functions by using a dynamically reconfigurable AND/OR gate. To ensure stable operation of the ALU, we improved the operating margin of the SFQ AND/OR gate by employing a partially shielded structure where the circuit is partially surrounded by under- and over-ground layers to reduce parasitic inductances. Owing to the introduction of the partially shielded structure, the operating margin of the dynamically reconfigurable AND/OR gate can be improved without increasing the circuit area. This ALU can be designed with a smaller circuit area compared with the conventional ALU by using the dynamically reconfigurable AND/OR gate. We implemented the SFQ ALU using the AIST 2.5kA/cm2 Nb standard process 2. We confirmed high-speed operation and correct reconfiguration of the SFQ ALU by a high-speed test. The measured maximum operation frequency was 30GHz.

DOI
10.1587/transele.e99.c.692

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IEEE Transactions on Applied Superconductivity•Nov 21, 2012•35 citations
A single-flux-quantum (SFQ) arithmetic logic unit (ALU) was designed and tested to evaluate the effectiveness of introducing dynamically reconfigurable logic gates in the design of a superconducting logic circuit. We designed and tested a bit-serial SFQ ALU that can perform six arithmetic/logic functions by using a dynamically reconfigurable AND/OR gate. To ensure stable operation of the ALU, we improved the operating margin of the SFQ AND/OR gate by employing a partially shielded structure where the circuit is partially surrounded by under- and over-ground layers to reduce parasitic inductances. Owing to the introduction of the partially shielded structure, the operating margin of the dynamically reconfigurable AND/OR gate can be improved without increasing the circuit area. This ALU can be designed with a smaller circuit area compared with the conventional ALU by using the dynamically reconfigurable AND/OR gate. We implemented the SFQ ALU using the AIST 2.5kA/cm2 Nb standard process 2. We confirmed high-speed operation and correct reconfiguration of the SFQ ALU by a high-speed test. The measured maximum operation frequency was 30GHz.
In this study, we designed and tested dynamically reconfigurable AND/OR and NAND/NOR single flux quantum (SFQ) logic gates. The measured dc bias margins at low frequency were 99%-126% and 121%-144% for AND/OR and NAND/NOR gates, respectively. The experimentally confirmed maximum operating frequencies of the AND/OR and NAND/NOR gates were 36 and 24 GHz, respectively. We investigated a circuit design method that enables the efficient design of SFQ logic circuits by using dynamically reconfigurable SFQ logic gates. The logic circuits were designed with a small number of gates using the input data pattern dependence of the Boolean function and reconfiguring the dynamically reconfigurable SFQ logic gates. As a case study, we designed and tested a bit-serial SFQ full adder using the investigated circuit design method. Compared with the conventional bit-serial SFQ full adder, the delay of the proposed full adder was reduced by 27%, assuming a clock frequency of 20 GHz. We confirmed correct operation of the adder with a low-speed test.
In this study, we designed and tested dynamically reconfigurable AND/OR and NAND/NOR single flux quantum (SFQ) logic gates. The measured dc bias margins at low frequency were 99%-126% and 121%-144% for AND/OR and NAND/NOR gates, respectively. The experimentally confirmed maximum operating frequencies of the AND/OR and NAND/NOR gates were 36 and 24 GHz, respectively. We investigated a circuit design method that enables the efficient design of SFQ logic circuits by using dynamically reconfigurable SFQ logic gates. The logic circuits were designed with a small number of gates using the input data pattern dependence of the Boolean function and reconfiguring the dynamically reconfigurable SFQ logic gates. As a case study, we designed and tested a bit-serial SFQ full adder using the investigated circuit design method. Compared with the conventional bit-serial SFQ full adder, the delay of the proposed full adder was reduced by 27%, assuming a clock frequency of 20 GHz. We confirmed correct operation of the adder with a low-speed test.
We report the successful operation of a low-power arithmetic logic unit (ALU) based on a low-voltage rapid single-flux-quantum (LV-RSFQ) logic circuit, whereby a dc bias current is fed to circuits from lowered constant-voltage sources through small resistors. Both the static and dynamic energy consumptions are reduced because of the reduction in the amplitudes of voltage pulses across the Josephson junctions, with a trade-off of slightly slower switching speeds. The designed bias voltage was set to 0.25mV, which is one-tenth that of our standard RSFQ circuit design. We investigated several issues related to such low-voltage operation, including margins and timing design. To achieve successful operation, we tuned the circuit parameters in the logic gate design and carefully controlled the timing by considering the interference of pulse signals. We show test results for the low-voltage ALU in on-chip high-speed testing. The circuit was fabricated using the AIST Nb/AlOx/Nb Advanced Process with a critical current density of 10kA/cm2. We verified that arithmetic and logical operations were correctly implemented and obtained dc bias margins of 18% at a target clock frequency of 20GHz and achieved a maximum clock frequency of 28GHz with a power consumption of 28µW. These experimental results indicate energy efficiency of 3.6 times that of the standard RSFQ circuit design.
Abstract Single-flux-quantum (SFQ) circuits are promising candidates for post-Moore integrated circuits owing to their ultra-high-speed operation and low power consumption. However, limitations in current superconducting fabrication processes pose significant challenges to achieving area-efficient SFQ-based microprocessors, particularly in the design of compact arithmetic logic units (ALUs). Unary computing enables arithmetic operations using extremely simple logic, but typically suffers from long computation latency. This paper focuses on unary computing for superconducting circuits that exploits the complementary characteristics of SFQ logic and unary computing. The ultra-high-speed nature of SFQ circuits compensates for the inherent latency of unary computation, while unary computing enables an ultra-low hardware cost by substantially reducing circuit complexity. Based on this concept, we introduce a unary computing methodology tailored for SFQ circuits and design a superconducting unary ALU with ultra-low hardware cost. The proposed ALU requires only 183 Josephson junctions (JJs), achieving approximately 88.2% reduction in JJ count and 80.4% reduction in area compared with a conventional bit-serial SFQ ALU. The proposed design, including binary-to-unary and unary-to-binary converters, was fabricated using a 10 kA cm −2 Nb four-layer superconducting circuit fabrication process and experimentally verified to operate correctly at approximately 72 GHz. The total power consumption at this frequency is approximately 58.9 µ W. This work quantitatively demonstrates the effectiveness of combining unary computing with SFQ circuits for ultra-low-cost processing systems and provides superconducting circuits as a new design option for alternative computation paradigms, such as unary computing.
We have designed and demonstrated an arithmetic logic unit (ALU) based on rapid single-flux-quantum (RSFQ) technology. The ALU has been developed toward demonstration of high-performance information processing using a general purpose microprocessor CORE e4. The target operation frequency of the ALU is 50 GHz. In this paper, we present the design and high- speed functionality test results of the ALU. The ALU can execute 10 instructions. We aimed at high frequency operation with precise timing design using logic gates synchronized to the clock signal. The ALU contains 1555 Josephson junctions (JJs) and occupies a circuit area of 0.53mm2. We have demonstrated the correct operation of the ALU using on-chip high-speed test. The estimated maximum operating frequency based on measurement results is 80 GHz.
This paper describes the design and testing of an 8-bit asynchronous wave-pipelined sparse-tree Rapid Single Flux Quantum (RSFQ) Arithmetic Logic Unit (ALU). Compared to previously developed RSFQ ALUs, this unit features an extensive set of 8 arithmetic and 12 logical operations. The execution of ALU operations consists of two steps. First, when necessary, one or both operands are inverted, and then operations are performed on these pre-processed data. Unlike the RSFQ Kogge-Stone-based designs, our parallel-prefix sparse-tree ALU has significantly reduced circuit complexity while maintaining robust operational margins at high frequency. An 8-bit ALU has been implemented with the International Superconductivity Technology Center (ISTEC) 10 kA/cm21.0 μm 9-metal ADP2.1 fabrication process as a joint effort between Stony Brook University, Yokohama National University, and Nagoya University. Using the CONNECT cell library and SFQ CAD tools developed at Nagoya and Yokohama, the Stony Brook team has developed a complete logical and physical design of the ALU chip. The 8-bit ALU core (without SFQ-to-dc and dc-to-SFQ converters) consists of 8832 Josephson junctions with an area of 7.2 mm2. Simulations show that the ALU can operate at the maximum rate of 42 GHz. It has the latency of 374 ps at a bias voltage of 2.5 mV. The chip was fabricated and tested at low frequency in 2012. Testing results showed malfunctioning of some gates but despite these shortcomings we still verified several ALU operations with the measured DC bias voltage margins of ±1.8%.