There has recently been considerable interest in connectivity analysis of fMRI and scalp and intracranial EEG time-series. The computational requirements of the pair-wise correlation (PWC), the core time-series measure used to estimate connectivity, presents a challenge to the real-time estimation of the PWC between all pairs of multiple time-series. We describe a parallel algorithm for computing PWC in real-time for streaming data from multiple channels. The algorithm was implemented on the Intel Xeon™ and IBM Cell Broadband Engine™ platforms. We evaluated time to estimate correlation for signals recorded with different acquisition parameters as a comparison to real-time constraints. We demonstrate that the execution time of these efficient implementations meet real-time constraints in most instances.

Estimating correlation for a real-time measure of connectivity

In most cases of safety-related systems, the network is an indispensable part At this point, the system reliability is as important as the system communication quality With the emergence of multi-core architectures, the first generation usually aims to provide reliable and deterministic computing resources Therefore, with the boost requirement of reliability and throughput that cannot be satisfied by general single-core processors, the deployment of safety-related systems is transferred and processed multi-core environments In this paper, we propose Reliable Communication Server on SPU (RCSoS), which is a server model for reliable communication utilizing SPU (Synergistic Processor Unit) in Cell/BE (Cell Broadband Engine) It simulates SPU as a communication server and guarantees the reliability and determinacy by the isolation mode of SPU and contract model We have implemented RCSoS in PlayStation 3, which dynamically adjust parameters, and inform applications on contract violations Experiments show the performance of this model

A Server Model for Reliable Communication on Cell/B.E.

The study focuses on the techniques and applications of green computing in various fields of human life such as biomedical systems and networking, is explored in detail. The influence of green computing, and the possible developments and improvements in its' mode of operation has also been gone over through in this paper. The considerable developments in green computing and the impact it has on the long-term trajectory that various disciplines, such as networking, computing, and artificial intelligence, are going through right now, make it an important area of research and study.

Power Cognizant Optimization Techniques for Green Cloud Systems

Chapter 9 – Green Computing Platforms for Biomedical Systems

The study focuses on the techniques and applications of green computing in various fields of human life such as biomedical systems and networking, is explored in detail. The influence of green computing, and the possible developments and improvements in its' mode of operation has also been gone over through in this paper. The considerable developments in green computing and the impact it has on the long-term trajectory that various disciplines, such as networking, computing, and artificial intelligence, are going through right now, make it an important area of research and study. 

High performance computing is becoming critical in the medical area to aid real-time processing of complex analysis of biological signals In this paper parallel schemes for real-time computations of pair-wise correlation (PWC) of electroencephalogram (EEG) signals, which belongs to streaming-data class of applications, are proposed and implemented and their performances are evaluated Currently most of the EEG based diagnosis for epilepsy is done off-line However, there is a growing need to perform these diagnoses in real-time to aid health care providers, including surgeons, in decision-making process that will lead to improved quality of life and prevent undesirable consequences, such as readmission to hospitals resulting in prolonged suffering and higher health care costs Systematic study of the PWC problem and the IBM Cell Broadband Engine (CBE) architecture led us to a model that is well suited for the Cell architecture and GPUs Measurements on the CBE indicate that speedup of 3391 is possible over the serial code running on Intel Xeon processor and the schemes can be used for real-time signal processing

Study of data locality for real-time biomedical signal processing of streaming data on Cell Broadband Engine

Digital India in the International Tax Domain

Interpretation of Parallel Proceedings during Moratorium under IBC

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