Abstract. We present a first lock-free design and practical implementation of a dynamically resizable array (vector). The most extensively used container in the C++ Standard Library is vector, offering a combination of dynamic memory management and efficient random access. Our approach is based

. We present simple, practical and efficient data structures for the fundamental problem of maintaining a resizable one-dimensional array, A[l::l + n \Gamma 1], of fixed-size elements, as elements are added to or removed from one or both ends. Our structures also support access to the element

region analysis that gives information about the set of array elements accessed during the execution of code. This approach to array resizing could be applied to other languages without array declaration such as MATLAB and APL in order to reduce the execution overhead of dynamic test and resizing. Our

Software debugging, maintenance and reuse have to deal with many problems from Fortran scientific codes that do not fully respect the standard specification. Our study on Linpack, PerfectClub and SPEC95 benchmarks and several industrial software reveals a large number of unprecise variable declarations that prevent program analysis, verification and parallelization. Furthermore, they decrease the readability of programs and make reverse-engineering more difficult. This paper

limits the application of extendible arrays. So we proposed our flexibly resizable multidimensional arrays which can be inserted or deleted even in the midst of the array. In this paper we will propose a sharing scheme of resizable multidimensional arrays in a distributed environment which means

The manual design and layout of Field Programmable Gate Arrays (FPGAs) is a lengthy process which can be greatly eased through automation. This research builds upon previous work conducted at the University of Toronto towards the creation of a tool that automatically generates FPGA layouts from

stage paralleling pipelines for the adaptive image resizing algorithm and is verified in FPGA (field programmable gate array). The experi-mental results show that our proposed algorithm excels the bicubic interpolation in visual effect, and has a lower complexity. Therefore, the algorithm adapts to real

industry different size and orientation of image data sets is a noteworthy problem to address. In this work we will explore implementation of image rotation and resizing for both low and high quality imaging systems. Implementations are proposed for real time processing using field programmable gate arrays

throughput. In our research, we have developed a prototype framework called ReSHAPE, which supports dynamic resizing of parallel MPI applications executing on distributed memory platforms. The resizing library in ReSHAPE includes support for releasing and acquiring processors and efficiently redistributing

. The Extraocular unit consists of a CCD camera, an image processor, an encoder, and a transmitter built on the eyeglass. High-resolution image from a CCD camera is reduced to lower resolution matching the array of electrodes by image processor, which is then encoded into bit stream. Each electrode in an implant