Pipelined Two-Operand Modular Adders

Pipelined two-operand modular adder (TOMA) is one of basic components used in digital signal processing (DSP) systems that use the residue number system (RNS). Such modular adders are used in binary/residue and residue/binary converters, residue multipliers and scalers as well as within residue processing channels. The design of pipelined TOMAs is usually obtained by inserting an appriopriate number of latch layers inside a nonpipelined TOMA structure. Hence their area is also determined by the number of latches and the delay by the number of latch layers. In this paper we propose a new pipelined TOMA that is based on a new TOMA, that has the smaller area and smaller delay than other known structures. Comparisons are made using data from the very large scale of integration (VLSI) standard cell library

Improved Memoryless RNS Forward Converter Based on the Periodicity of Residues

The residue number system (RNS) is suitable for DSP architectures because of its ability to perform fast carry-free arithmetic. However, this advantage is over-shadowed by the complexity involved in the conversion of numbers between binary and RNS representations. Although the reverse conversion (RNS to binary) is more complex, the forward transformation is not simple either. Most forward converters make use of look-up tables (memory). Recently, a memoryless forward converter architecture for arbitrary moduli sets was proposed by Premkumar in 2002. In this paper, we present an extension to that architecture which results in 44% less hardware for parallel conversion and achieves 43% improvement in speed for serial conversions. It makes use of the periodicity properties of residues obtained using modular exponentiation

Fast Quantum Modular Exponentiation

We present a detailed analysis of the impact on modular exponentiation of architectural features and possible concurrent gate execution. Various arithmetic algorithms are evaluated for execution time, potential concurrency, and space tradeoffs. We find that, to exponentiate an n-bit number, for storage space 100n (twenty times the minimum 5n), we can execute modular exponentiation two hundred to seven hundred times faster than optimized versions of the basic algorithms, depending on architecture, for n=128. Addition on a neighbor-only architecture is limited to O(n) time when non-neighbor architectures can reach O(log n), demonstrating that physical characteristics of a computing device have an important impact on both real-world running time and asymptotic behavior. Our results will help guide experimental implementations of quantum algorithms and devices.Comment: to appear in PRA 71(5); RevTeX, 12 pages, 12 figures; v2 revision is substantial, with new algorithmic variants, much shorter and clearer text, and revised equation formattin

Efficient Unified Arithmetic for Hardware Cryptography

The basic arithmetic operations (i.e. addition, multiplication, and inversion) in finite fields, GF(q), where q = pk and p is a prime integer, have several applications in cryptography, such as RSA algorithm, Diffie-Hellman key exchange algorithm [1], the US federal Digital Signature Standard [2], elliptic curve cryptography [3, 4], and also recently identity based cryptography [5, 6]. Most popular finite fields that are heavily used in cryptographic applications due to elliptic curve based schemes are prime fields GF(p) and binary extension fields GF(2n). Recently, identity based cryptography based on pairing operations defined over elliptic curve points has stimulated a significant level of interest in the arithmetic of ternary extension fields, GF(3^n)

Parametric, Secure and Compact Implementation of RSA on FPGA

We present a fast, efficient, and parameterized modular multiplier and a secure exponentiation circuit especially intended for FPGAs on the low end of the price range. The design utilizes dedicated block multipliers as the main functional unit and Block-RAM as storage unit for the operands. The adopted design methodology allows adjusting the number of multipliers, the radix used in the multipliers, and number of words to meet the system requirements such as available resources, precision and timing constraints. The architecture, based on the Montgomery modular multiplication algorithm, utilizes a pipelining technique that allows concurrent operation of hardwired multipliers. Our design completes 1020-bit and 2040-bit modular multiplications in 7.62 μs and 27.0 μs, respectively. The multiplier uses a moderate amount of system resources while achieving the best area-time product in literature. 2040-bit modular exponentiation engine can easily fit into Xilinx Spartan-3E 500; moreover the exponentiation circuit withstands known side channel attacks

Design and Implementation of Fault Tolerant Adders on Field Programmable Gate Arrays

Fault tolerance on various adder architectures implemented on Field Programmable Gate Arrays (FPGAs) is studied in this thesis. This involves developing error detection and correction techniques for the sparse Kogge-Stone adder and comparing it with Triple Modular Redundancy (TMR) techniques. Fault tolerance is implemented on a Kogge-Stone adder by taking advantage of the inherent redundancy in the carry tree. On a sparse Kogge-Stone adder, fault tolerance is realized by introducing additional ripple carry adders into the design. The implementation of this fault tolerance approach on the sparse Kogge-Stone adder is successfully completed and verified by introducing faults either on the ripple carry adder or in the carry tree. Two types of Xilinx FPGAs were used in this study: the Spartan 3E and Virtex 5. The fault tolerant adders were analyzed in terms of their delay and resource utilization as a function of the widths of the adders. The results of this research provide important design guidelines for the implementation of fault tolerant adders on FPGAs. The Triple Modular Redundancy-Ripple Carry Adder (TMR-RCA) is the most efficient approach for fault tolerant design on an FPGA in terms of its resources due to its simplicity and the ability to take advantage of the fast-carry chain. However, for very large bit widths, there are indications that the sparse Kogge-Stone adder offers superior performance over an RCA when implemented on an FPGA. Two fault tolerant approaches were implemented using a sparse Kogge-Stone architecture. First, a fault tolerant sparse Kogge-Stone adder is designed by taking advantage of the existing ripple carry adders in the architecture and adopting a similar approach to the TMR-RCA by inserting two additional ripple carry adders into the design. Second, a graceful degradation approach is implemented with the sparse Kogge-Stone adder. In this approach, a faulty block is permanently replaced with a spare block. As the spare block is initially used for fault checking, the fault tolerant capability of the circuit is degraded in order to continue fault-free operation. The adder delay is smaller for the graceful degradation approach by approximately 1 ns from measured results and 2 ns from the synthesis results independent of the bit widths when compared with the fault tolerant Kogge-Stone adder. However, the resource utilization is similar for both adders