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Dive into the research topics where Rajeev Jayaraman is active.

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Featured researches published by Rajeev Jayaraman.


field programmable gate arrays | 1998

A novel predictable segmented FPGA routing architecture

Emil S. Ochotta; Patrick J. Crotty; Charles R. Erickson; Chih-Tsung Huang; Rajeev Jayaraman; Richard C. Li; Joseph D. Linoff; Luan Ngo; Hy V. Nguyen; Kerry M. Pierce; Douglas P. Wieland; Jennifer Zhuang; Scott S. Nance

In the development of new FPGA architectures, a designer must balance speed, density and routing flexibility. In this paper, we discuss a new FPGA architecture based on a patented [1], novel, segmented routing fabric that is targeted to high performance and predictability but does not sacrifice routability or area efficiency. Current segmented architectures allow much flexibility in routing, but incur large delay penalties when a signal has high fanout or must traverse medium to long distances to reach its target. Reducing the number of programmable interconnect points (PIPs) that a signal must traverse to reach its target, while eliminating the RC delay buildup due to signal fanout, improves design performance and offers highly predictable signal delays.


international symposium on physical design | 2001

Physical design for FPGAs

Rajeev Jayaraman

FPGAs have been growing at a rapid rate in the past few years. Their ever-increasing gate densities and performance capabilities are making them very popular in the design of digital systems. In this paper we discuss the state-of-the-art in FPGA physical design. Compared to physical design in traditional ASICs, FPGAs pose a different set of requirements and challenges. Consequently the algorithms in FPGA physical design have evolved differently from their ASIC counterparts. Apart from allowing FPGA users to implement their designs on FPGAs, FPGA physical design is also used extensively in developing and evaluating new FPGA architectures. Finally, the future of FPGA physical design is discussed along with how it is interacting with the latest FPGA technologies.


design automation conference | 2001

(When) will FPGAs kill ASICs? (panel session)

Rob A. Rutenbar; Max Baron; Thomas Daniel; Rajeev Jayaraman; Zvi Or-Bach; Jonathan Rose; Carl Sechen

There was a time - in the dim historical past - when foundries actually made ASICs with only 5000 to 50,000 logic gates. But FPGAs and CPLDs conquered those markets and pushed ASIC silicon toward opportunities with more logic, volume, and speed. Todays largest FPGAs approach the few-million-gate size of a typical ASIC design, and continue to sprout embedded cores, such as CPUs, memories, and interfaces. And given the risks of nonworking nanometer silicon, FPGA costs and time-to-market are looking awfully attractive. So, will FPGAs kill ASICs? ASIC technologists certainly think not. ASICs are themselves sprouting patches of programmable FPGA fabric, and pushing new realms of size and especially speed. New tools claim to have tamed the convergence problems of older ASIC flows. Is the future to be found in a market full of FPGAs with ASIC-like cores? ASICs with FPGA cores? Other exotic hybrids? Our panelists will share their disagreements on these prognostications.


symposium on cloud computing | 2006

Performance Improvements through Timing Driven Reconfiguration of Black-Boxes in Platform FPGAs

Priya Sundararajan; Sridhar Krishnamurthy; Narayanan Vijaykrishnan; Kamal Chaudhary; Rajeev Jayaraman

Platform FPGAs have introduced complex reconfigurable black-boxes for complete system on chip implementation. With rising expectations from these architectures there is a need to perform optimizations across the FPGA slice fabric and the newly introduced black boxes to maximize performance gains. In this paper, we discuss a timing driven reconfiguration technique to improve performance of DSP designs on platform FPGAs by (i) optimal register placement algorithms within the DSP 48 block and (ii) timing driven mechanism to have maximal pipeline depth.


Archive | 2003

ICCAD and Xilinx

Rajeev Jayaraman

This paper examines the unique impact of Computer-Aided Design on Xilinx and on Field Programmable Gate Arrays. A brief history and description of FPGA implementation software is given. Some specific CAD algorithms that have influenced FPGA implementation software are listed along with their contributions.


Archive | 1998

Placement of input-output design objects into a programmable gate array supporting multiple voltage standards

Jason Helge Anderson; James L. Saunders; Madabhushi V. R. Chari; Sudip K. Nag; Rajeev Jayaraman


field programmable logic and applications | 2000

A Placement Algorithm for FPGA Designs with Multiple I/O Standards

Jason Helge Anderson; Jim Saunders; Sudip K. Nag; Chari Madabhushi; Rajeev Jayaraman


Archive | 2000

Method and apparatus for testing routability

Gi-Joon Nam; Sandor S. Kalman; Jason Helge Anderson; Rajeev Jayaraman; Sudip K. Nag; Jennifer Zhuang


Archive | 2001

Method and apparatus for placement of input-output design objects into a programmable gate array

Jason Helge Anderson; James L. Saunders; Madabhushi V. R. Chari; Sudip K. Nag; Rajeev Jayaraman


Archive | 2007

Method and apparatus for facilitating signal routing within a programmable logic device

Vinay Verma; Anirban Rahut; Sudip K. Nag; Jason Helge Anderson; Rajeev Jayaraman

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Carl Sechen

University of Washington

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