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IEEE Transactions on Applied Superconductivity

RSFQ arithmetic blocks for DSP applications

Stanislav V. Polonsky, J.C. Lin, Alexander V. Rylyakov

Published Jun 1, 1995• 28 citations
Publisher

Abstract

We have designed a Rapid Single-Flux-Quantum (RSFQ) bit-serial real-time pipeline multiplier for digital signal processing (DSP) applications. A single-bit module of this multiplier consists of 96 Josephson junctions and uses a B-flip-flop-based carry-save adder (CSA). For HYPRES' standard 1-kA/cm/sup 2/ Nb process with 3.5 /spl mu/m-diameter Josephson junctions the module occupies all area of 350/spl times/600 /spl mu/m/sup 2/. Simulations show that the circuit should dissipate 28 /spl mu/W of power at 2.6 mV dc supply voltage and operate at frequencies of up to 25 GHz. We have successfully tested all cells of the module and verified correct operation of a simplified version of the module at low frequencies. According to numerical simulations, the speed of the multiplier is limited by the CSA. In order to overcome this bottleneck we have developed a concept of a fast carry-save pipeline adder based on XOR gates which uses an RSFQ-specific algorithm for carry bit calculation.>

DOI
10.1109/77.403179

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Applied Superconductivity•Oct 1, 1999•1 citation
We have designed a Rapid Single-Flux-Quantum (RSFQ) bit-serial real-time pipeline multiplier for digital signal processing (DSP) applications. A single-bit module of this multiplier consists of 96 Josephson junctions and uses a B-flip-flop-based carry-save adder (CSA). For HYPRES' standard 1-kA/cm/sup 2/ Nb process with 3.5 /spl mu/m-diameter Josephson junctions the module occupies all area of 350/spl times/600 /spl mu/m/sup 2/. Simulations show that the circuit should dissipate 28 /spl mu/W of power at 2.6 mV dc supply voltage and operate at frequencies of up to 25 GHz. We have successfully tested all cells of the module and verified correct operation of a simplified version of the module at low frequencies. According to numerical simulations, the speed of the multiplier is limited by the CSA. In order to overcome this bottleneck we have developed a concept of a fast carry-save pipeline adder based on XOR gates which uses an RSFQ-specific algorithm for carry bit calculation.>
Abstract: We have developed and experimentally evaluated at high-speed, a complete set of arithmetic circuits (multiply, add, and accumulate) for high performance digital signal processing (DSP). These circuits take advantage of the unique features of the Rapid Single-Flux Quantum (RSFQ) logic/memory family, including fusion of logic and memory functions at the gate level, pulse representation of clock and data, and the ability to maintain inter cell propagation delays using Josephson transmission lines (JTLs). The circuits developed have been successfully used in the implementation of a serial radix 2 butterfly, a decimation digital filter, and of an arithmetic unit for digital beam forming. The 8×8-bit RSFQ multiplier uses a two- level parallel carry- save reduction tree that significantly reduces the multiplier latency. The 80-GHz carry-save reduction is implemented with asynchronous data-driven wave pipelined [4:2] compressors built with toggle flip-flop cells.
We have developed a novel, so-called "push-forward" design approach in Rapid Single-Flux-Quantum (RSFQ) logic. This approach leads to a more efficient circuit design at the gate level using fewer Josephson junctions combined with reasonable circuit parameter margins. Other advantages include higher operational speed and smaller power dissipation. This novel method is based on a specific type of interaction (pushing forward) between single flux quanta already stored by RSFQ gates and newly arriving data SFQ pulses. It implies a reuse of an internal gate memory as well as realization of multi-quantum storage. Using this push-forward design approach, we have designed, optimized, fabricated, and successfully tested two versions of Carry-Save Serial Adders for digital signal processing applications.>
We will discuss the microarchitecture, design, and testing of the first 8 × 8-bit (by modulo 256) parallel carry-save RSFQ multiplier implemented using the ISTEC 10- kA/cm21.0-μm fabrication technology. Partial products are asynchronously generated and sent to the reduction stage at the internal “hardwired” rate of 80 GHz. The 8 × 8-bit RSFQ multiplier uses a two-level parallel carry-save reduction tree that significantly reduces the multiplier latency. The 80-GHz carry-save reduction is implemented with asynchronous data-driven wave-pipelined [4:2] compressors built with toggle flip-flop cells. The design has mostly regular layout with both local and global connections between modules. The multiplier core (without SFQ-to-DC and DC-to-SFQ converters) has 5948 Josephson junctions occupying the area of 3.5 mm2. The multiplier is designed with the target operation frequency of 20 GHz and has the latency of 447 ps at the bias voltage of 2.5 mV. Despite some challenges due to fabrication process parameter variations and flux trapping, the multiplier chip was fabricated and successfully tested for the vast majority of test vectors by the Stony Brook designers with the assistance of colleagues from Yokohama National University in February 2012. While multiplier test operations were generated at low frequency, each of these operations was executed at the “hardwired” rate of 80 GHz. The fabricated chip operated with the measured DC bias margins of ±5%.
A design of a 32 × 32-bit 4-bit bit-slice integer multiplier for rapid single-flux quantum microprocessors is shown. The multiplier carries out both signed and unsigned multiplication. It is designed with synchronous concurrent-flow clocking and target frequency of 50 GHz using the AIST 1.0-μm Nb/AlOx/Nb, nine-layer advanced process 2 fabrication technology with a critical current density of 10 kA/cm2. It consists of 56 885 Josephson junctions. The area is 12.00 × 6.65 mm2. The simulation results show correct operation with frequency of 50 GHz at the dc bias voltage of 2.5 mV. The throughput is 3.125 × 109multiplications per second.
Key digital circuits for signal processing with tens of gigahertz speed and a few microwatts power dissipation have been recently demonstrated using a simple, 2 /spl mu/m linewidth process. These are the fastest digital circuits reported to date. These circuits use novel rapid single flux quantum (RSFQ) technology that takes advantage of the fundamental properties of superconductivity. In this technology, data and clock are picosecond-long quantized voltage pulses corresponding to the transfer of single magnetic flux quanta, /spl Phisub 0/=h/2e=2 mVps. These SFQ pulses are regenerated at each gate and are processed by circuits comprised of overdamped Josephson junctions interconnected via microstrip inductances. The inherent internal memory of all RSFQ gates (primarily flip-flops), combined with high switching speed, makes serial, bit-pipelined circuit design advantageous. This paper presents experiments in RSFQ digital circuits, including an N/spl times/8b serial multiplier, and on-chip test systems based on RSFQ shift registers and on SFQ samplers. They enable test and study of RSFQ circuits at full GHz speed while communicating with semiconductor electronics at low speed.>
Residue number system (RNS) arithmetic has a promising role for fault-tolerant high throughput superconducting single flux quantum (SFQ) circuits for digital signal processing (DSP) applications. We have designed one of the basic computational blocks used in DSP circuits, one-decimal-digit RNS adder. A new design for its main component, the single-modulus adder, has been developed. It combines simple and robust RSFQ elementary cells, both combinational and sequential. The central units are a circular shift register, a code converter, and the clock control circuitry. Our mod5 adder employs 195 Josephson junctions, consumes 50 μW of power, and occupies an area of less than 2 mm2. Chips were fabricated at HYPRES, Inc. using 1 kA/cm2 low-Tc Niobium technology. The mod5 adder was successfully tested at low speed, and gave experimental bias margins of ±26%.