7324862
A New Description Language for Data-Driven Asynchronous Circuits and its Design Flow
A lot of up-to-date asynchronous circuit design tools are based on the control-driven asynchronous circuit style, such as Balsa and Haste/Tangram. The control-driven approach will limit the performance of the result circuits. To improve the performance of the asynchronous circuits, a new description language - Biscotti, which is suitable for the data-driven asynchronous circuit design, has been introduced in this paper. And a data-driven asynchronous circuit design flow is also be presented here. The experimental results show that this design flow is a fast and efficient way to design the data-driven asynchronous circuit, which can achieve higher performance compared with the control-driven design approach.
17076624
Performance Bound Analysis and Retiming of Timed Circuits
Timed asynchronous circuits are efficient in performance and power consumption. Traditional performance analysis method can not analyze timed circuits efficiently. In this paper, we model timed circuits using timed Petri net and digraph. We studied the mean cycle time of timed Petri net model. The upper bound and lower bound of mean cycle time were given. Then we proposed an algorithm for timed circuits retiming. The algorithm can efficiently distribute buffers along communication channels of timed circuits to gain maximal performance and minimal area. These algorithms were applied to phased logic circuitspsila design and optimization.
45238482
TengYue-1TengYue: In Chinese means jump over.: A High Performance Embedded SoC
43074800
Research and Implementation of a 32-Bit Asynchronous Multiplier
提出基于宏单元（macrocell）的异步电路设计流程,由于在流程中尽量与现有的同步电路设计EDA工具兼容,降低了技术难度,提高了开发效率.基于该流程实现了0.35μm工艺条件下的32位异步乘法器.经过与相同工艺条件下,具有相同数据通路结构的同步乘法器比较,异步乘法器的性能与同步乘法器相当,而且面积更小、功耗更低.
5903999
Texture classification using multiresolution Markov random field models
Abstract Texture classification is an important topic in texture analysis. Texture classification has wide applications in remote sensing, computer vision, and image analysis. During the past years, several authors discussed to use multiresolution stochastic approaches to model textures. However, in these approaches, the highpass components which contain rich detailed information are lost. In this paper, we propose multiresolution MRF (MRMRF) modeling to describe textures. MRMRF modeling is a method trying to fuse filtering theory and MRF models. In the MRMRF modeling, highpass components are considered as well as lowpass components. “Brodatz texture database” is used in this paper for the experiments and Nearest Linear Combination (NLC) is used as measurement of distance to improve the recognition rate. The experimental results show that NLC has much better performance than Nearest Neighbor (NN) as the measurement in MRMRF modeling.
13024197
Joint Performance Improvement and Error Tolerance for Memory Design Based on Soft Indexing
Memory design is facing the dual challenges of performance improvement and error tolerance due to a combination of technology scaling and higher levels of integration. To address these challenges, we propose a new memory microarchitecture referred to as the soft indexing. The proposed technique allocates memory resources in a self-adaptive manner in accordance with runtime program variations, thereby achieving efficient memory access and effective error protection in a coherent manner. Statistical analysis shows 10times improvement in error detection capability over the existing error-control techniques. The benefits of the proposed technique are also experimentally demonstrated using the SPEC CPU2000 benchmarks. Simulation results show 94.9% average error-control coverage on the 23 benchmarks, with average of 23.2% reduction in memory miss rates as compared to the conventional techniques.
7234494
A novel method for a class of nonlinear singular perturbation problems
In this paper, we present a boundary value method for solving a class of nonlinear, singularly perturbed two-point boundary value problems with a boundary layer at the left of the underlying interval. This method is based on ideas of singular perturbation analysis by constructing a modified problem with a boundary layer correction. We deal with the boundary layer separately, and use series method. The condition at infinity will be applied to the corresponding Pade approximates of the obtained series solution.
10422931
Chaos Control of Lorenz System Using Small Gain Theorem
This paper studies the problem of controlling chaos in Lorenz system. By dividing Lorenz system into two subsystems, the small gain theorem is used to design linear feedback controllers to make the equilibrium points of the controlled system globally asymptotically stable. Thus chaos in Lorenz system disappears under the controller.
7144886
Khatri-Rao Unitary Space-Time Modulation
Based on the Khatri-Rao matrix product, we propose a novel unitary space-time modulation design called KR-USTM in this paper. Different from existing USTM schemes, such as the systematic approach and space-time frequency-shift keying (ST-FSK), KR-USTM does not require any computer search and can be applied to any number of transmit antennas. Moreover, the special structure of KR-USTM also makes it a high-rate scheme and achieve full antenna diversity as well as lower decoding complexity. Simulation results show that the proposed KR-USTM constellation achieves error performance comparable to existing USTM designs at low rates, while it outperforms them at high rates.