The application of reconfigurable multiprocessors to information retrieval problems Download PDF EPUB FB2
Reconfigurable computing is a rapidly emerging computing paradigm, not only in research but also in real applications, which combines the flexibility of software with the high performance of.
For many years researchers have tried to use reconfigurable computing technology (namely FPGAs) to help solve many computationally demands problems in domains like scientific computing, finance, security and military applications. Significant problems had to be overcome ranging from non-ideal vendor architectures with limited support for dynamic reconfigurations to a lack of.
It provides an entry point to the novice willing to move in the research field reconfigurable computing, FPGA and system on programmable chip design. The book can also be used as teaching reference for a graduate course in computer engineering, or as reference to advance electrical and computer engineers.
Sparse Matrix-Vector Multiplication (SpMxV) is widely used in many high-performance computing applications, including information retrieval, medical imaging, and economic modeling. To illustrate this approach, an error-detectable systolic array is designed in CMOS for All-Substring Comparisons, a problem which arises in applications such as information retrieval, and DNA.
We present a practical FPGA-based accelerator for solving Boolean Satisfiability problems (SAT). Unlike previous efforts for hardware accelerated SAT solving, our design focuses on accelerating the most time consuming part of the SAT solver ─ Boolean Constraint Propagation (BCP), leaving the choices of heuristics such as branching order, restarting policy, and learning and backtracking to [ ].
The web searching problem that they solve is a special case of the more general information retrieval (IR) problem of locating documents relevant to the information need of users. In this paper, we investigate how to exploit a symmetric multiprocessor to.
Welcome to the proceedings of the International Symposium on Parallel and Distributed Processing and Applications (ISPA ) which was held in Aizu-Wakamatsu City, Japan, July 2–4, Parallel and distributed processing has become a key technology which will play an important part in.
The Embedded and Reconfigurable Systems Group at Microsoft Research has been engaged in joint academic collaborations spanning both teaching and research activities.
The results of these collaborations are showcased annually at the Faculty Summit at Microsoft headquarters in Redmond, WA, during the DemoFest event. This is also a good opportunity to review some of the [ ].
This book is a celebration of Lamport's work on concurrency, interwoven in four-and-a-half decades of an evolving industry: from the introduction of the first personal computer to an era when parallel and distributed multiprocessors are abundant.
These all pose formidable problems in terms of the complexity of the data structures, the search algorithms, and the processing power required. This paper reports on the problems which have been overcome in relation to storing and searching representations of generic structures in patents, and the results of evaluation of the methods.
He has authored or co-authored 62 ISI journals, tens of book chapters, and more than two hundred peer-reviewed conference proceedings. His main research interests fall within hot topics on machine learning applied to big-data analysis, reconfigurable and embedded computing based on FPGA devices, optimization, and evolutionary computing.
Home Conferences IR Proceedings SIGIR '91 On the allocation of documents in multiprocessor information retrieval systems ARTICLE On the allocation of documents in multiprocessor information retrieval systems.
Journals & Books; Help Download PDF Download. Share. Export. Advanced. Journal of Systems Architecture. Vol Is NovemberPages Content-based image retrieval algorithm acceleration in a low-cost reconfigurable FPGA cluster. The book is intended to quickly bring researchers and graduate students working on numerical solutions of partial differential equations with various applications into the area of parallel.
The use of hybrid multiprocessors presents schedulers with the problem of job pairing, i.e. deciding which specific jobs can share each processor with minimum performance penalty, by running on.
The hardware–software co-design process involved in the architecture and SystemC design is presented as well. The SMILE cluster functionality is tested executing a real complex Content-Based Information Retrieval (CBIR) parallel application and the performance of the cluster is compared (time, power and cost) with a traditional cluster approach.
This sets the stage for substantial growth in parallel -intensive applications such as transaction processing and information retrieval, data mining and analysis and multimedia services have provided a new challenge for the modern generation of parallel platforms.
The availability of multiple sensors on mobile devices offers a significant new capability to enable rich user and context aware applications. Many of these applications run in the background to continuously sense user context. However, running these applications on mobile devices can impose a significant stress on the battery life and the use of supplementary [ ].
The K-nearest neighbors is a basic problem in machine learning with numerous applications. In this problem, given a (training) set of n data points with labels and a query point q, we want to assign a label to q based on the labels of the K-nearest.
Search this site. Trustworthy Computational Societies. Home. Reconfigurable Computing: Architectures, Tools and Applications, Data Extrapolation Using Genetic Programming to Matrices Singular Values Estimation. IEEE International Conference on Evolutionary Computation, a viable exabyte computer can be built without major technology innovations.
The innovations will need to include new architectures, new approaches to software, and new hardware technologies, including advanced accelerators, 3-D stacked chips for more energy-efficient computing, novel optical interconnect technologies to optimize data transfer and communication, and new high-performance.
COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.
Parallel Information Retrieval on an SCI-Based PC-NOW.- A PC-NOW Based Parallel Extension for a Sequential DBMS.- Workshop on Advances in Parallel and Distributed Computational Models.- The Heterogeneous Bulk Synchronous Parallel Model.- On stalling in LogP.- Parallelizability of some P-complete problems An Application Analysis Framework For Polymorphic Chip Multiprocessors.
et al. Smart Memories: A Modular Reconfigurable Architecture. In Proceedings of 27th ISCA, June Google Scholar Digital Library; Information retrieval. Evaluation of retrieval results. Search engine architectures and. dominant applications a decade back.
These applications continue to challenge the current generation of parallel platforms. However, a variety of new applications have also become important. These include data-intensive applications such as transaction processing and information retrieval, data mining and analysis, and multimedia services.
High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the ever-increasing computational needs coupled.
Techniques for Optimizing Multiprocessor Implementations of Signal Processing Applications. An indispensable component of the information age, signal processing is embedded in a variety of consumer devices, including cell phones and digital television, as well as in communication infrastructure, such as media servers and cellular base stations.The book includes: Thirteen application chapters which present the most important application areas tackled by high performance reconfigurable computers, namely: financial computing, bioinformatics and computational biology, data search and processing, stencil computation e.g.
computational fluid dynamics and seismic modeling, cryptanalysis.The reconfigurable mesh (R-Mesh) was shown to be a very powerful model capable of extremely fast solutions to many problems. R-Mesh has a wide range of applications such as arithmetic problems, image processing and robotics.
The 2D R-Mesh was shown to be able to solve the path planning problem very fast.