Network-on-Chip

Addresses the Challenges Associated with System-on-Chip Integration Network-on-Chip: The Next Generation of System-on-Chip Integration examines the current issues restricting chip-on-chip communication efficiency, and explores Network-on-chip (NoC), a promising alternative that equips designers with the capability to produce a scalable, reusable, and high-performance communication backbone by allowing for the integration of a large number of cores on a single system-on-chip (SoC). This book provides a basic overview of topics associated with NoC-based design: communication infrastructure design, communication methodology, evaluation framework, and mapping of applications onto NoC. It details the design and evaluation of different proposed NoC structures, low-power techniques, signal integrity and reliability issues, application mapping, testing, and future trends. Utilizing examples of chips that have been implemented in industry and academia, this text presents the full architectural design of components verified through implementation in industrial CAD tools. It describes NoC research and developments, incorporates theoretical proofs strengthening the analysis procedures, and includes algorithms used in NoC design and synthesis. In addition, it considers other upcoming NoC issues, such as low-power NoC design, signal integrity issues, NoC testing, reconfiguration, synthesis, and 3-D NoC design. This text comprises 12 chapters and covers: The evolution of NoC from SoC—its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems

MAPK mediated cell cycle regulation is associated with Cdc25 turnover in S. pombe after exposure to genotoxic stress

Genotoxic stress caused by carcinogens like Cigarette smoke activate both the MAPK pathway and the S phase checkpoint in Schizosacchaomyces pombe. But the cross talk between between these two pathways has not been investigated in great detail in fission yeast. This study deals with the molecular mechanism of co-ordination between the two regulatory pathways. We show that both the pathways have a common effector molecule, namely Cdc25, the cell cycle regulatory phosphatase. We demonstrate that the MAPK Sty1 interacts with Cdc25 and prevents mitotic entry in S. pombe cells exposed to CSE. To our knowledge, this is the first demonstration of interaction between Sty1 and Cdc25 in S. pombe. The functional significance of this interaction lies in effecting Cdc25 turnover after CSE exposure in S.pombe. We show that Cdc25 turnover after CSE treatment is dependent on the presence of Rad3 activity and Sty1-Cdc25 interaction. Our study suggests that the Cigarette Smoke Extract (CSE ) induced stress is counteracted by the simultaneous activation of a mitotic checkpoint in addition to the previously described S phase checkpoint. We also show that Sty1 activity is not essential for activation of the S phase checkpoint

Characterization of Sro1, a novel stress responsive protein in Schizosaccharomyces pombe

The large amount of available genome sequencing data presents a huge challenge in the form of orphan sequences. This study reports the detailed functional characterization of one such orphan sequence in Schizosaccharomyces pombe. We identified this gene as a prominently upregulated 1.4 kb transcript in a screen for Cigarette smoke extract responsive genes in S. pombe and named it Stress Responsive Orphan 1 (Sro1). We report various functions of Sro1 in regulation of cellular behaviour under stress conditions. We show that this gene (Sro1) responds to a variety of stress conditions and that the expression of the gene is regulated mainly through the stress activated protein kinase (SAPK) Sty1 and its downstream transcription factor Atf1. Deletion of Sro1 also significantly alters the reactive oxygen species (ROS) generation profiles and the cell-cycle progression of S. pombe during stress conditions. The stress-specific alteration of the ROS generation profiles and checkpoint activation resulting from deletion of the gene suggest that Sro1 might be a key player in determining cellular responses/fate under stress conditions

SMASIS2009-1419 OPTIMAL SENSOR PLACEMENT FOR DAMAGE DETECTION IN COMPLEX STRUCTURES

ABSTRACT An optimal sensor placement methodology is proposed based on detection theory framework to maximize the detectio

Effect of osmolytes and chaperone-like action of p-protein on folding of nucleocapsid protein of Chandipura virus

Amino acid sequences of nucleocapsid proteins are mostly conserved among different rhabdoviruses. The protein plays a common functional role in different RNA viruses by enwrapping the viral genomic RNA in an RNase-resistant form. Upon expression of the nucleocapsid protein alone in COS cells and in bacteria, it forms large insoluble aggregates. In this work, we have reported for the first time the full-length cloning of the N gene of Chandipura virus and its expression in Escherichia coli in a soluble monomeric form and purification using nonionic detergents. The biological activity of the soluble recombinant protein has been tested, and it was found to possess efficient RNA-binding ability. The state of aggregation of the recombinant protein was monitored using light scattering. In the absence of nonionic detergents, it formed large aggregates. Aggregation was significantly reduced in the presence of osmolytes such asd-sorbitol. Aggregate formation was suppressed in the presence of another viral product, phosphoprotein P, in a chaperone-like manner. Both the osmolyte and phosphoprotein P also suppressed aggregation to a great extent during refolding from a guanidine hydrochloride-denatured form. The function of the phosphoprotein and osmolyte appears to be synergistic to keep the N-protein in a soluble biologically competent form in virus-infected cells

Differential Fault Attack on Grain v1, ACORN v3 and Lizard

Differential Fault Attack (DFA) is presently a very well known technique to evaluate security of a stream cipher. This considers that the stream cipher can be weakened by injection of the fault. In this paper we study DFA on three ciphers, namely Grain v1, Lizard and ACORN v3. We show that Grain v1 (an eStream cipher) can be attacked with injection of only 5 faults instead of 10 that has been reported in 2012. For the first time, we have mounted the fault attack on Lizard, a very recent design and show that one requires only 5 faults to obtain the state. ACORN v3 is a third round candidate of CAESAR and there is only one hard fault attack on an earlier version of this cipher. However, the `hard fault\u27 model requires a lot more assumption than the generic DFA. In this paper, we mount a DFA on ACORN v3 that requires 9 faults to obtain the state. In case of Grain v1 and ACORN v3, we can obtain the secret key once the state is known. However, that is not immediate in case of Lizard. While we have used the basic framework of DFA that appears in literature quite frequently, specific tweaks have to be explored to mount the actual attacks that were not used earlier. To the best of our knowledge, these are the best known DFA on these three ciphers

Fault Location Identification By Machine Learning

As the fault based analysis techniques are becoming more and more powerful, there is a need to streamline the existing tools for better accuracy and ease of use. In this regard, we propose a machine learning assisted tool that can be used in the context of a differential fault analysis. In particular, finding the exact fault location by analyzing the XORed output of a stream cipher/ stream cipher based design is somewhat non-trivial. Traditionally, Pearson\u27s correlation coefficient is used for this purpose. We show that a machine learning method is more powerful than the existing correlation coefficient, aside from being simpler to implement. As a proof of concept, we take two variants of Grain-128a (namely a stream cipher, and a stream cipher with authentication), and demonstrate that machine learning can outperform correlation with the same training/testing data. Our analysis shows that the machine learning can be considered as a replacement for the correlation in the future research works

Distinct repeat motifs at the C-terminal region of CagA of Helicobacter pylori strains isolated from diseased patients and asymptomatic individuals in West Bengal, India

Background: Infection with Helicobacter pylori strains that express CagA is associated with gastritis, peptic ulcer disease, and gastric adenocarcinoma. The biological function of CagA depends on tyrosine phosphorylation by a cellular kinase. The phosphate acceptor tyrosine moiety is present within the EPIYA motif at the C-terminal region of the protein. This region is highly polymorphic due to variations in the number of EPIYA motifs and the polymorphism found in spacer regions among EPIYA motifs. The aim of this study was to analyze the polymorphism at the C-terminal end of CagA and to evaluate its association with the clinical status of the host in West Bengal, India. Results: Seventy-seven H. pylori strains isolated from patients with various clinical statuses were used to characterize the C-ternimal polymorphic region of CagA. Our analysis showed that there is no correlation between the previously described CagA types and various disease outcomes in Indian context. Further analyses of different CagA structures revealed that the repeat units in the spacer sequences within the EPIYA motifs are actually more discrete than the previously proposed models of CagA variants. Conclusion: Our analyses suggest that EPIYA motifs as well as the spacer sequence units are present as distinct insertions and deletions, which possibly have arisen from extensive recombination events. Moreover, we have identified several new CagA types, which could not be typed by the existing systems and therefore, we have proposed a new typing system. We hypothesize that a cagA gene encoding higher number EPIYA motifs may perhaps have arisen from cagA genes that encode lesser EPIYA motifs by acquisition of DNA segments through recombination events