Raguram Damodaran
Texas Instruments
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Featured researches published by Raguram Damodaran.
international solid-state circuits conference | 2002
Sanjive Agarwala; P. Koeppen; Timothy D. Anderson; Anthony M. Hill; M. Ales; Raguram Damodaran; Lewis Nardini; P. Wiley; Steven Mullinnix; J. Leach; Anthony J. Lell; Manzur Gill; J. Golston; D. Hoyle; Arjun Rajagopal; Abhijeet Ashok Chachad; M. Agarwala; R. Castille; N. Common; John Apostol; H. Mahmood; Manjeri Krishnan; Duc Quang Bui; Quang-Dieu An; Peter Groves; Luong Nguyen; N.S. Nagaraj; R. Simar
A 600 MHz VLIW DSP, which implements the C64x VelociTI.2/spl trade/ architecture delivers 4800 MIPS, 2400 (16 b) or 4800 (8 b) million multiply accumulates at 0.3 mW/MMAC (16 b). The chip has 64 M transistors and dissipates 718 mW at 600 MHz and 1.2 V, and 200 mW at 300 MHz and 0.9 V. It has an 8-way VLIW DSP core, a 2-level memory system, and 2.4 GB/s I/O bandwidth. The DSP chip is implemented in 0.13 μm CMOS technology with 6-layer copper metalization.
international solid-state circuits conference | 2007
Sanjive Agarwala; Arjun Rajagopal; Anthony M. Hill; M. Joshi; Steven Mullinnix; Timothy D. Anderson; Raguram Damodaran; Lewis Nardini; P. Wiley; P. Groves; John Apostol; Manzur Gill; J. Flores; Abhijeet Ashok Chachad; A. Hales; K. Chirca; K. Panda; R. Venkatasubramanian; P. Eyres; R. Veiamuri; A. Rajaram; Manjeri Krishnan; J. Nelson; J. Frade; M. Rahman; N. Mahmood; U. Narasimha; S. Sinha; S. Krishnan; W. Webster
The combined processing power of three 1+GHz DSP cores and 65nm 7M CMOS integration delivers a WCDMA macro base-station on a single chip. The 300M transistor IC can perform up to 24000MIPS, 8000 16b MMACs per second, coupled with symbol-rate and chip-rate acceleration and dissipates less than 6W.
international conference on vlsi design | 2012
Raguram Damodaran; Timothy D. Anderson; Sanjive Agarwala; Rama Venkatasubramanian; Michael Gill; Dhileep Gopalakrishnan; Anthony M. Hill; Abhijeet Ashok Chachad; Dheera Balasubramanian; Naveen Bhoria; Jonathan (Son) Hung Tran; Duc Quang Bui; Mujibur Rahman; Shriram D. Moharil; Matthew D. Pierson; Steven Mullinnix; Hung Ong; David Thompson; Krishna Chaithanya Gurram; Oluleye Olorode; Nuruddin Mahmood; Jose Luis Flores; Arjun Rajagopal; Soujanya Narnur; Daniel Wu; Alan Hales; Kyle Peavy; Robert Sussman
The next-generation C66x DSP integrated fixed and floating-point DSP implemented in TSMC 40nm process is presented in this paper. The DSP core runs at 1.25GHz at 0.9V and has a standby power consumption of 800mW. The core transistor count is 21.5 million. The DSP core features 8-way VLIW floating point Data path and a two level memory system and delivers 40 GMACS or 10 GFLOPS floating point MAC performance at 1.25GHz.
international conference on vlsi design | 2004
Sanjive Agarwala; Paul Wiley; Arjun Rajagopal; Anthony M. Hill; Raguram Damodaran; Lewis Nardini; Timothy D. Anderson; Steven Mullinnix; Jose Luis Flores; Heping Yue; Abhijeet Ashok Chachad; John Apostol; Kyle Castille; Usha Narasimha; Tod D. Wolf; N. S. Nagaraj; Manjeri Krishnan; Luong Nguyen; Todd Kroeger; Michael Gill; Peter Groves; Bill Webster; Joel J. Graber; Christine Karlovich
The 800MHz System-on-Chip implements the C64x VLIW DSP VelociTI.2/spl trade/ Architecture and delivers 6400 MIPS, 3200 16-bit MMACs, 6400 8-bit MMACs at 0.17 mW/MMAC (8 bit). The chip is implemented in state of the art 90 nm CMOS technology with 7-layer copper metalization. The core dissipates 1080 mW at 800 MHz, 1.2V. The system-on-chip is targeted for high performance wireless infrastructure application. It has an 8-way VLIW DSP core, a 2-level memory system, and an I/O bandwidth of 3.2GB/s.
international symposium on quality electronic design | 2008
Anand Rajaram; Raguram Damodaran; Arjun Rajagopal
Clock tree analysis and signoff is a key step in the design of any high performance chip. Though simple and intutive metrics like skew have been used to track clock tree quality, they are not sufficient for most practical purposes. Ideally, skew distribution obtained using a SSTA (Statististical Static Timing Analysis) on the clock trees can be used. But in most practical cases, the process information assumed by SSTA is not available. As a result, the signoff of clock skew robustness to variation effects is an often difficult problem to solve. In this work, we propose two metrics that can address this issue. These metrics can be used in three important ways. First, they can be used to determine during CTS whether the clock tree is good enough to go through rest of the backend flow or whether more tuning needs to be done to the clock tree. Second, they can be used to isolate any parts of the clock tree that behaves like a hot spot for clock skew across corners. Third, it can be used as a final signoff metric for clock tree to ensure that the tracking of the delays and skews can be expected to be good across all process points. We provide several experimental results from industry testcases demonstrating the utility of our metrics.
Proceedings of SPIE | 2008
Arjun Rajagopal; Anand Rajaram; Raguram Damodaran; Frank Cano; Srinivas Swaminathan; Clive Bittlestone; Mark Terry; Mark E. Mason; Yajun Ran; Haizhou Chen; Robert Ritchie; Bala Kasthuri; Jac Condella; Philippe Hurat; Nishath Verghese
The impact of lithography-induced systematic variations on the parametric behavior of cells and chips designed on a TI 65nm process has been studied using software tools for silicon contour prediction, and design analysis from contours. Using model-based litho and etch simulation at different process conditions, contours were generated for the poly and active layers of standard cells in multiple contexts. Next, the extracted transistor-level SPICE netlists (with annotated changes in CD) were simulated for cell delay and leakage. The silicon contours predicted by the model-based litho tools were validated by comparing CDs of the simulated contours with SEM images. A comparative analysis of standard cells with relaxed design rules and restricted pitch design rules showed that restrictive design rules help reduce the variation from instance to instance of a given cell by as much as 15%, but at the expense of an area penalty. A full-chip variability analysis flow, including model-based lithography and etch simulation, captures the systematic variability effects on timing-critical paths and cells and allows for comparison of the variability of different cells and paths in the context of a real design.
Archive | 2000
Charles L. Fuoco; David A. Comisky; Sanjive Agarwala; Raguram Damodaran
Archive | 2011
Jonathan (Son) Hung Tran; Abhijeet Ashok Chachad; Raguram Damodaran; Krishna Chaithanya Gurram
Archive | 2004
Raguram Damodaran; Timothy D. Anderson; Sanjive Agarwala; Joel J. Graber
Archive | 2004
Timothy D. Anderson; David Quintin Bell; Abhijeet Ashok Chachad; Peter Dent; Raguram Damodaran