The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The Indian ‘smart cities’ have burgeoning population consuming the intelligent systems running over the city infrastructure and services. One critical set of such services is that of the emergency services involving Ambulances, Police and Firefighters. The services provided by these officials are often time critical, which makes their easy and quick availability a must have attribute. This paper proposes...
In this paper, we introduce SWiF – Simplified Workload-intuitive Framework – a workload-centric, application programming framework designed to simplify the large-scale deployment of FPGAs in end-to-end applications. SWiF can intelligently mediate access to shared resources by orchestrating the distribution and scheduling of tasks across a heterogeneous mix of FPGA and CPU resources in order to improve...
Databases as a service (DBaaS) transfer the advantages of cloud computing to data management systems, which is important for the big data era. The allocation in a DBaaS system, i.e., the mapping from databases to nodes of the infrastructure, influences performance, utilization, and cost-effectiveness of the system. Modeling databases and the underlying infrastructure as weighted graphs and using graph...
This paper introduces an FPGA-based scheme to accelerate mpiBLAST, which is a parallel sequence alignment algorithm for computational biology. Recent rapidly growing biological databases for sequence alignment require high-throughput storage and network rather than computing speed. Our scheme utilizes a specialized hardware configured on an FPGA-board which connects flash storage and other FPGA-boards...
The rise of big data systems has created a need for benchmarks to measure and compare the capabilities of these systems. Big data benchmarks present unique scalability challenges. The supercomputing community has wrestled with these challenges for decades and developed methodologies for creating rigorous scalable benchmarks (e.g., HPC Challenge). The proposed PageRank pipeline benchmark employs supercomputing...
RDF databases naturally map to a graph representation and employ languages, such as SPARQL, that implements queries as graph pattern matching routines. Graph methods exhibit an irregular behavior: they present unpredictable, fine-grained data accesses, and are synchronization intensive. Graph data structures expose large amounts of dynamic parallelism, but are difficult to partition without generating...
Performance of modern day computer systems greatly depends on the wide range of workloads, which run on the systems. Thus, a representative set of workloads, representing the different classes of real-world applications, need to be used by computer designers and researchers for processor design-space evaluation studies. While a number of different benchmark suites are available, a few common benchmark...
Data loading is a crucial and well standardized procedure of the usage of modern relational database management systems (RDBMS). If data arises highly frequently and intensive real time analyses are required, single rows need to be imported as soon as they are generated, e.g., By monitoring applications, into a columnar table layout. The experiment described and conducted in this paper, evaluates...
Big Data is one of the latest emerging topics in the field of business information systems, and is marketed as being the key for companies' future success. Many analytic solutions are offered by IT companies to help other businesses with the flood of data that is generated within and outside of a company. Despite the extensive use of the notion Big Data for marketing purposes, there is no common understanding...
Targeted deployment of hardware accelerators can improve the throughput and energy efficiency of large-scale data processing. Data partitioning is a critical operation for manipulating large datasets and is often the limiting factor in database performance. A hardware-software streaming framework offers a seamless execution environment for streaming accelerators such as the Hardware-Accelerated Range...
A grand challenge facing computing today is to design future systems to efficiently manage and harvest useful insights from the growing amount of information. Emerging technology inflections provide a unique opportunity to address this challenge through novel redesign at both the hardware and software levels.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.