IEEE 754-2008

expert’s opinion, The architecture NVIDIA designed seems to be the first architecture of any kind to deliver all of the features required in order to satis-fy all demanding HPC applications: unmatched double-precision floating point per-formance, IEEE 754-2008 compliance including fused multiply-add operations, ECC protection from the registers to DRAM, a straightforward linear addressing model with caching at all levels, and support for languages including C, C++, FORTRAN, Java, Matlab, and Python.

CHAPTER 1 1 INTRODUCTION For the past decades, scientific computation has been a popular research tool among scientists and engineers from numerous areas, including climate modelling, computational chemistry, and bioinformatics .With the maturing of application algorithms, developing high performance computing platforms that satisfy the increasing computational demands, search spaces, and data volume have become a huge challenge. As predicted by Moore’s law .faster and faster computers are built

Detection of Node Replication attack in Wireless Sensor Networks: A Review Ms. L S Sindhuja1, Dr. G Padmavathi2 1Research Scholar, Department of Computer Science Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore, India 2Professor and Head, Department of Computer Science Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore, India sindhujakarthick2011@gmail.com Abstract Wireless Sensor Network Security is one

Encrypted Data Management with Deduplication in Cloud Computing Hariharan.R1, Pourselvan.M1 and Hema Sundari.S1 guided by prof. Sudheer.K 1 1 vit university, site school, mca department, vellore , Tamil nadu , india - 632014 Abstract: Cloud computing plays an important role in supporting data storage, processing, and management in the Internet of Things (IoT). To preserve cloud data confidentiality and user privacy, cloud data are often stored in an encrypted form. However, duplicated data

Electrical Power and Energy Systems 32 (2010) 743–750 Contents lists available at ScienceDirect Electrical Power and Energy Systems journal homepage: www.elsevier.com/locate/ijepes Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks Changhao Xia a,b,*, Jian Wang b,*, Karen McMenemy c a College of Electrical Engineering and Information Technology, China Three Gorges University, Yichang Hubei 443002, China School