Joel Grodstein
Intel
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Joel Grodstein.
Journal of Electronic Testing | 2011
Desta Tadesse; R. Iris Bahar; Joel Grodstein
Debugging and speed-binning a fabricated design requires a pattern-dependent timing model to generate patterns, which static timing analysis is incapable of providing. To address these issues, we propose a timing analysis tool that integrates a pattern-dependent delay model into its analysis. Our approach solves for the delay by using the concept of circuit unrolling and formulation of timing questions as decision problems for input into a satisfiability (SAT) solver. We generate a critical path and input vectors that stimulate it, taking into account pattern-dependent effects such as data-dependent gate delays and multiple-inputs switching. The effectiveness and validity of the proposed methodology is illustrated through experiments on various benchmark circuits and comparisons directly with SPICE.
international conference on computer design | 2003
Joel Grodstein; Dilip K. Bhavsar; Vijay Bettada; Richard A. Davies
We present our experiences generating scan-based critical-path tests for the partial-scan Alpha 21364 microprocessor, including the effects of crosstalk and multiple-inputs switching on path delay. Insufficient scan penetration made this difficult [D.Bhavsar (2002)], but a new ATPG algorithm increased our coverage. Comparison with actual silicon shows interesting results; we explain them with statistical analysis, factoring the effect of statistical process variation into the effects of crosstalk and multiple-input switching on delay. Finally, we draw conclusions about how to help make future designs amenable to speed testing.
great lakes symposium on vlsi | 2004
K. Nepal; Hui-Yuan Song; R. Iris Bahar; Joel Grodstein
Successful timing analysis for high-speed integrated circuits requires accurate delay computation. However, full-custom circuits popular in todays CPU designs make this difficult. A good circuit-level static timing analysis tool should 1) consider both internally or externally specified input constraints; 2) handle a wide range of circuit structures; and 3) have a robust underlying framework that can be applied independent of the actual device model. In this paper, we present RESTA, a Robust and Extendable Symbolic Timing Analysis tool that aims to address these three goals. RESTA estimates the delay for all valid input assignments, while naturally handling input constraints. We start with a simple linear resistor model for transistors and from there apply various heuristics to improve the delay estimation for the circuits without altering the symbolic algorithms. Our worst-case delay estimates are within 10% of SPICE for over 90% of the circuits we simulated.
great lakes symposium on vlsi | 2002
Joel Grodstein; Rachid Rayess; Tad Truex; Linda Shattuck; Sue Lowell; Dan Bailey; David Bertucci; Gabriel P. Bischoff; Daniel E. Dever; Michael K. Gowan; Roy Lane; Brian Lilly; Krishna Nagalla; Rahul C. Shah; Emily Shriver; Shi-Huang Yin; Shannon V. Morton
A 1.75 MByte L2 cache has been designed and fabricated as part of the Alpha 21364 microprocessor[1] (Figure 1), in a .18m bulk CMOS process. The cache was designed to run at 1.2 GHz, and pass-1 samples confirm this. While Alpha CPUs are known primarily for high speed, the combination of package constraints and a tight schedule forced careful attention to the integrated whole of power expenditure and the interaction of CAD with design. The cache consumes only 7% of total die power.
international conference on computer design | 1998
Joel Grodstein; Nick Rethman; Nevine Nassif
We introduce a new method for pruning combinational paths in a static timing verifier. Our method is fast and robust, even for networks with min-max delays on reconvergent clock trees. We will show that current techniques for static timing verification are either not robust or not efficient for such networks. We will also show that these networks are becoming increasingly important with newer low-power, high-speed integrated circuits. We propose a new pruning strategy for such networks which is both correct and efficient.
Archive | 1992
Joel Grodstein; Nicholas L. Rethman; Jengwei Pan
Archive | 2003
David H. Asher; Brian Lilly; Joel Grodstein; Patrick M. Fitzgerald
Archive | 1995
Larry L. Biro; Joel Grodstein; Jengwei Pan; Nicholas L. Rethman
Archive | 1997
Joel Grodstein; Nicholas L. Rethman; Nevine Nassif
IWLS | 2002
Hui-Yuan Song; R. Iris Bahar; Joel Grodstein