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1. Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Variable Latency Speculative Han-Carlson
Adder
Abstract—Variable latency adders have been recently proposed in literature. A
variable latency adder employs speculation: the exact arithmetic function is
replaced with an approximated one that is faster and gives the correct result most
of the time, but not always. The approximated adder is augmented with an error
detection network that asserts an error signal when speculation fails. Speculative
variable latency adders have attracted strong interest thanks to their capability to
reduce average delay compared to traditional architectures. This paper proposes a
novel variable latency speculative adder based on Han-Carlson parallel- prefix
topology that resulted more effective than variable latency Kogge-Stone topology.
The paper describes the stages in which variable latency speculative prefix adders
can be subdivided and presents a novel error detection network that reduces error
probability compared to previous approaches. Several variable latency speculative
adders, for various operand lengths, using both Han-Carlson and Kogge-Stone
topology, have been synthesized using the UMC 65 nm library. Obtained results
show that proposed variable latency Han-Carlson adder outperforms both
previously proposed speculative Kogge-Stone architectures and non-speculative
adders, when high-speed is required. It is also shown that non-speculative adders
remain the best choice when the speed constraint is relaxed.

2. SOFTWARE REQUIREMENT:
 ModelSim6.4c.
 Xilinx 9.1/13.2.
HARDWARE REQUIREMENT:
 FPGA Spartan 3.
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement (Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (NearMaruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com