Parallel lives

Mad Max: Fury Road is the kind of movie in which everything connects to everything else. Although the world that George Miller creates is extremely surreal and exotic to modern viewers, he takes great pains to make it as internally consistent and logically sound as possible. The film always plays by its own rules, no matter how strange they may be. Every object and action fits snuggly into place like puzzle pieces of the grand picture that is this worlds culture and backstory. One single object in

The hard disk interface characterizes the physical segments and logical segments based on the connectivity of the hardware to the computer. In the 1980s, the most mainstream disk interfaces were ST506/412 and ESDI, which are presently out of date. These old drives utilize two strip links (a 20-stick data link and a 34-stick control link) versus the single-lace link utilized by present day drives. Discovering one of these old double link drives in a computer voluntarily builds up that computer is

are using a 1-megabit predictor. The fair model is relatively insensitive to the size of the predictor, though even a tiny 4-bit predictor improves the mean parallelism by 50%. The same is evident in case of the Great model wherein the three most parallel programs are quite insensitive to the size of the predictor. We look for paths of few conditional branches, up to the fanout limit, but that we do not look past branches beyond that point. After the fanout limit is reached dynamic prediction is used

Design in modern architecture is an increasingly organic process in which architects attempt to build unconventional forms and structures. In the ancient world, geometry was used as a practical tool to solve problems in fields such as architecture and navigation. As fragmented knowledge grew, mathematicians felt the need to approach geometry in a more systematic fashion. (Thorgeirsson 3) The key for understanding the structure of organic forms is abandoning Euclidean geometry, which does not describe

Virtualization is being able to give a physical device the power, through the use of software, to do more than that physical device was technically designed and able to do (Santana, 2014, p. 12). For example, a server can only run one operating system at a time. However, when a hypervisor is used in a server, the hypervisor is a layer of software that acts like the server itself so that many operating systems can be run from that one server. The hardware, in this case a server, has been virtualized

This paper is based on CUDA, a parallel computing platform model, which utilizes the resources of the Graphical Processing Unit (GPU), increasing the computing performance of our system, hence creating a robust parallel computing unit. In this paper, we will be introducing a brief history on CUDA, it’s execution flow and it’s architecture to handle processor intensive tasks. We will also be highlighting some of it’s real life applications and the difference in performance as compared of the only

Recent advancements in internet communication and in parallel computing grabbed the attention of a large number of commercial organizations and industries to adapt the recent changes in storage and retrieval methods. This includes the new data retrieval and mining schemas which enable the firms to provide their clients a wide space for carrying their job processing and storing of the personal data. Although the new storage innovations made the user data to accommodate the petabyte scale in size,

“Speeding up k-means algorithm by GPUs” Krishnali Penta, University of Florida Abstract-This paper gives a brief description of the above titled paper. Data clustering is one of the most widely used method for various applications. And parallelizing these time-consuming applications is of quite importance. This paper brings out an additional feature of handling input data of various dimensions and thus accordingly handle it. I. INTRODUCTION In the world of data clustering, K-means is one of

Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel SVM algorithm (PSVM), which reduces memory use through performing a row-based, approximate matrix factorization, and which loads only essential data to each machine to perform parallel computation. Let n denote the number of training instances, p the reduced matrix dimension after factorization (p is significantly smaller than n), and m

C.S. Lewis survives in the lives of many and continues to live on through his brilliant and artful use of language in his books. An adventurer at heart Lewis loved to create tales to entertain and inspire others. Adam Gopnik expresses, “The tales of the English children who cross over, through a wardrobe, into a land where animals speak and lions rule, which Lewis began in the late nineteen-forties, are classics in the only sense that matters—books that are read a full generation after their author