Supercomputer Education and Research Centre (SERC): Recent submissions
Now showing items 21-40 of 98
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Polymorphic ASIC : For Video Decoding
(2018-03-21)Video applications are becoming ubiquitous in recent times due to an explosion in the number of devices with video capture and display capabilities. Traditionally, video applications are implemented on a variety of devices ... -
Automated Selection of Hyper-Parameters in Diffuse Optical Tomographic Image Reconstruction
(2018-03-16)Diffuse optical tomography is a promising imaging modality that provides functional information of the soft biological tissues, with prime imaging applications including breast and brain tissue in-vivo. This modality uses ... -
Development and Validation of Analytical Models for Diffuse Fluorescence Spectroscopy/Imaging in Regular Geometries
(2018-03-15)New advances in computational modeling and instrumentation in the past decade has enabled the use of electromagnetic radiation for non-invasive monitoring of the physio-logical state of biological tissues. The near infrared ... -
Adaptive Fault Tolerance Strategies for Large Scale Systems
(2018-03-07)Exascale systems of the future are predicted to have mean time between node failures (MTBF) of less than one hour. At such low MTBF, the number of processors available for execution of a long running application can widely ... -
Low Overhead Soft Error Mitigation Methodologies
(2018-03-06)CMOS technology scaling is bringing new challenges to the designers in the form of new failure modes. The challenges include long term reliability failures and particle strike induced random failures. Studies have shown ... -
Development of Novel Reconstruction Methods Based on l1--Minimization for Near Infrared Diffuse Optical Tomography
(2018-03-03)Diffuse optical tomography uses near infrared (NIR) light as the probing media to recover the distributions of tissue optical properties. It has a potential to become an adjunct imaging modality for breast and brain imaging, ... -
A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems
(2018-02-28)The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing data transfer between CPU and GPU, increasing occupancy of ... -
Malware Analysis using Profile Hidden Markov Models and Intrusion Detection in a Stream Learning Setting
(2018-02-18)In the last decade, a lot of machine learning and data mining based approaches have been used in the areas of intrusion detection, malware detection and classification and also traffic analysis. In the area of malware ... -
Development of Next Generation Image Reconstruction Algorithms for Diffuse Optical and Photoacoustic Tomography
(2018-02-15)Biomedical optical imaging is capable of providing functional information of the soft bi-ological tissues, whose applications include imaging large tissues, such breastand brain in-vivo. Biomedical optical imaging uses ... -
Study of RCS from Aerodynamic Flow using Parallel Volume-Surface Integral Equation
(2018-02-14)Estimation of the Radar Cross Section of large inhomogeneous scattering objects such as composite aircrafts, ships and biological bodies at high frequencies has posed large computational challenge. The detection of scattering ... -
Development of Sparse Recovery Based Optimized Diffuse Optical and Photoacoustic Image Reconstruction Methods
(2018-01-11)Diffuse optical tomography uses near infrared (NIR) light as the probing media to re-cover the distributions of tissue optical properties with an ability to provide functional information of the tissue under investigation. ... -
Variance of Difference as Distance Like Measure in Time Series Microarray Data Clustering
(2018-01-09)Our intention is to find similarity among the time series expressions of the genes in microarray experiments. It is hypothesized that at a given time point the concentration of one gene’s mRNA is directly affected by the ... -
Metascheduling of HPC Jobs in Day-Ahead Electricity Markets
(2018-01-03)High performance grid computing is a key enabler of large scale collaborative computational science. With the promise of exascale computing, high performance grid systems are expected to incur electricity bills that grow ... -
Ranking And Classification of Chemical Structures for Drug Discovery : Development of Fragment Descriptors And Interpolation Scheme
(2017-12-01)Deciphering the activity of chemical molecules against a pathogenic organism is an essential task in drug discovery process. Virtual screening, in which few plausible molecules are selected from a large set for further ... -
Clustering for Model Reduction of Circuits : Multi-level Techniques
(2017-11-22)Miniaturisation of electronic chips poses challenges at the design stage. The progressively decreasing circuit dimensions result in complex electrical behaviour that necessitates complex models. Simulation of complex circuit ... -
Elasticity in IaaS Cloud, Preserving Performance SLAs
(2017-11-14)Infrastructure-as-a-Service(IaaS), one of the service models of cloud computing, provides resources in the form of Virtual Machines(VMs). Many applications hosted on the IaaS cloud have time varying workloads. These kind ... -
Efficient Dynamic Automatic Memory Management And Concurrent Kernel Execution For General-Purpose Programs On Graphics Processing Units
(2017-04-28)Modern supercomputers now use accelerators to achieve their performance with the most widely used accelerator being the Graphics Processing Unit (GPU). However, achieving the performance potential of systems that combine ... -
Efficient Execution Of AMR Computations On GPU Systems
(2016-11-16)Adaptive Mesh Refinement (AMR) is a method which dynamically varies the spatio-temporal resolution of localized mesh regions in numerical simulations, based on the strength of the solution features. Due to high resolution ... -
Prediction Of Queue Waiting Times For Metascheduling On Parallel Batch Systems
(2015-08-07)Production parallel systems are space-shared and employ batch queues in which the jobs submitted to the systems are made to wait before execution. Thus, jobs submitted to parallel batch systems incur queue waiting times ... -
Compiling For Coarse-Grained Reconfigurable Architectures Based On Dataflow Execution Paradigm
(2015-07-24)Coarse-Grained Reconfigurable Architectures(CGRAs) can be employed for accelerating computational workloads that demand both flexibility and performance. CGRAs comprise a set of computation elements interconnected using a ...