As technology scales into the sub-90nm domain, manufacturing variations become an increasingly significant portion of circuit delay. As a result, delays must be modeled as statistical distributions during both analysis and optimization. This paper uses incremental, parametric statistical static timing analysis (SSTA) to perform gate sizing with a required yield target. Both correlated and uncorrelated process parameters are considered by using a first-order linear delay model with fitted process sensitivities. The fitted sensitivities are verified to be accurate with circuit simulations. Statistical information in the form of criticality probabilities are used to actively guide the optimization process which reduces run-time and improves area and performance. The gate sizing results show a significant improvement in worst slack at 99.86% yield over deterministic optimization.
Clock networks in high-performance designs are extremely power hungry. One potential method for reducing the power consumption is to use distributed LC tanks in which energy is conserved by shifting it between electrical and magnetic forms at the resonant frequency. However, no physical algorithms to physically synthesize resonant trees have been proposed. In order to utilize such techniques in ASICs, this work presents the first algorithm to synthesize resonant regional clock trees. Our results suggest that, on average, we can reduce clock power consumption by 41.7% at 2Ghz with no degredation to skew compared to a minimum buffer insertion algorithm.
Clock meshes are extremely effective at producing low-skew regional clock networks that are tolerant of environmental and process variations. For this reason, clock meshes are used in most high-performance designs, but this robustness consumes significant power. In this work, we present two techniques to optimize high-performance clock meshes. The first technique is a mesh perturbation methodology for nonuniform mesh routing. The second technique is a skew-aware buffer placement through iterative buffer deletion. We demonstrate how these optimizations can achieve significant power reductions and a near elimination of short-circuit power. In addition, the total wire length is decreased, the number of required buffers is decreased, and both skew and robustness are improved on average when variation is considered.
Computer systems research is often inhibited by the availability of memory designs. Existing Process Design Kits (PDKs) frequently lack memory compilers, while expensive commercial solutions only provide memory models with immutable cells, limited configurations, and restrictive licenses. Manually creating memories can be time consuming and tedious and the designs are usually inflexible. This paper introduces OpenRAM, an open-source memory compiler, that provides a platform for the generation, characterization, and verification of fabricable memory designs across various technologies, sizes, and configurations. It enables research in computer architecture, system-on-chip design, memory circuit and device research, and computer-aided design.
Abstract-We propose a new paradigm for clock distribution that uses current, rather than voltage, to distribute a global clock signal with reduced power consumption. While current-mode (CM) signaling has been used in one-to-one signals, this is the first usage in a one-to-many clock distribution network. To accomplish this, we create a new high-performance current-mode pulsed flipflop (CMPFF) using a representative 45nm CMOS technology. When the CMPFF is combined with a CM transmitter, the first CM clock distribution network exhibits 45.2% lower average power compared to traditional voltage mode clocks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.