Search Results - "Tithi, Jesmin Jahan"

The Intel® Programmable and Integrated Unified Memory Architecture (PIUMA) Graph Analytics Processor by Aananthakrishnan, Sriram, Abedin, Shamsul, Cave, Vincent, Checconi, Fabio, Du Bois, Kristof, Eyerman, Stijn, Fryman, Joshua B., Heirman, Wim, Howard, Jason, Hur, Ibrahim, Jain, Samkit, Landowski, Marek M., Ma, Kevin, Nelson, Jarrod, Pawlowski, Robert, Petrini, Fabrizio, Szkoda, Sebastian, Tayal, Sanjaya, Tithi, Jesmin Jahan, Vandriessche, Yves

“…High performance large scale graph analytics are essential to timely analyze relationships in big data sets. Conventional processor architectures suffer from…”
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Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier by Zicari, Roberto V., Ahmed, Sheraz, Amann, Julia, Braun, Stephan Alexander, Brodersen, John, Bruneault, Frédérick, Brusseau, James, Campano, Erik, Coffee, Megan, Dengel, Andreas, Düdder, Boris, Gallucci, Alessio, Gilbert, Thomas Krendl, Gottfrois, Philippe, Goffi, Emmanuel, Haase, Christoffer Bjerre, Hagendorff, Thilo, Hickman, Eleanore, Hildt, Elisabeth, Holm, Sune, Kringen, Pedro, Kühne, Ulrich, Lucieri, Adriano, Madai, Vince I., Moreno-Sánchez, Pedro A., Medlicott, Oriana, Ozols, Matiss, Schnebel, Eberhard, Spezzatti, Andy, Tithi, Jesmin Jahan, Umbrello, Steven, Vetter, Dennis, Volland, Holger, Westerlund, Magnus, Wurth, Renee

“…This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system…”
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On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls by Zicari, Roberto V., Brusseau, James, Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Coffee, Megan, Ganapini, Marianna B., Gerke, Sara, Gilbert, Thomas Krendl, Hickman, Eleanore, Hildt, Elisabeth, Holm, Sune, Kühne, Ulrich, Madai, Vince I., Osika, Walter, Spezzatti, Andy, Schnebel, Eberhard, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee, Amann, Julia, Antun, Vegard, Beretta, Valentina, Bruneault, Frédérick, Campano, Erik, Düdder, Boris, Gallucci, Alessio, Goffi, Emmanuel, Haase, Christoffer Bjerre, Hagendorff, Thilo, Kringen, Pedro, Möslein, Florian, Ottenheimer, Davi, Ozols, Matiss, Palazzani, Laura, Petrin, Martin, Tafur, Karin, Tørresen, Jim, Volland, Holger, Kararigas, Georgios

“…Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing…”
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Z-Inspection®: A Process to Assess Trustworthy AI by Zicari, Roberto V., Brodersen, John, Brusseau, James, Dudder, Boris, Eichhorn, Timo, Ivanov, Todor, Kararigas, Georgios, Kringen, Pedro, McCullough, Melissa, Moslein, Florian, Mushtaq, Naveed, Roig, Gemma, Sturtz, Norman, Tolle, Karsten, Tithi, Jesmin Jahan, van Halem, Irmhild, Westerlund, Magnus

“…The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics,…”
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Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams by Soh, Yongseok, Helal, Ahmed E., Checconi, Fabio, Laukemann, Jan, Tithi, Jesmin Jahan, Ranadive, Teresa, Petrini, Fabrizio, Choi, Jee W.

“…Streaming tensor factorization is an effective tool for unsupervised analysis of time-evolving sparse data, which emerge in many critical domains such as…”
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Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA by Adiletta, Matthew Joseph, Tithi, Jesmin Jahan, Farsarakis, Emmanouil-Ioannis, Gerogiannis, Gerasimos, Adolf, Robert, Benke, Robert, Kashyap, Sidharth, Hsia, Samuel, Lakhotia, Kartik, Petrini, Fabrizio, Wei, Gu-Yeon, Brooks, David

“…Large-scale Graph Convolutional Network (GCN) inference on traditional CPU/GPU systems is challenging due to a large memory footprint, sparse computational…”
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Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures by Nguyen, Andy, Helal, Ahmed E, Checconi, Fabio, Laukemann, Jan, Tithi, Jesmin Jahan, Soh, Yongseok, Ranadive, Teresa, Petrini, Fabrizio, Choi, Jee W

“…Tensor decomposition (TD) is an important method for extracting latent information from high-dimensional (multi-modal) sparse data. This study presents a novel…”
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ALTO: Adaptive Linearized Storage of Sparse Tensors by Helal, Ahmed E, Laukemann, Jan, Checconi, Fabio, Tithi, Jesmin Jahan, Ranadive, Teresa, Petrini, Fabrizio, Choi, Jeewhan

“…The analysis of high-dimensional sparse data is becoming increasingly popular in many important domains. However, real-world sparse tensors are challenging to…”
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How to Assess Trustworthy AI in Practice by Zicari, Roberto V, Amann, Julia, Bruneault, Frédérick, Coffee, Megan, Düdder, Boris, Hickman, Eleanore, Gallucci, Alessio, Gilbert, Thomas Krendl, Hagendorff, Thilo, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Kringen, Pedro, Madai, Vince I, Mathez, Emilie Wiinblad, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee

“…This report is a methodological reflection on Z-Inspection$^{\small{\circledR}}$. Z-Inspection$^{\small{\circledR}}$ is a holistic process used to evaluate the…”
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Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis by Tithi, Jesmin Jahan, Checconi, Fabio, Petrini, Fabrizio

“…Multi-hop reasoning (MHR) is a process in artificial intelligence and natural language processing where a system needs to make multiple inferential steps to…”
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Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients by Allahabadi, Himanshi, Amann, Julia, Balot, Isabelle, Beretta, Andrea, Binkley, Charles, Bozenhard, Jonas, Bruneault, Frederick, Brusseau, James, Candemir, Sema, Cappellini, Luca Alessandro, Chakraborty, Subrata, Cherciu, Nicoleta, Cociancig, Christina, Coffee, Megan, Ek, Irene, Espinosa-Leal, Leonardo, Farina, Davide, Fieux-Castagnet, Genevieve, Frauenfelder, Thomas, Gallucci, Alessio, Giuliani, Guya, Golda, Adam, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Krier, Sebastien A, Kuhne, Ulrich, Lizzi, Francesca, Madai, Vince I, Markus, Aniek F, Masis, Serg, Mathez, Emilie Wiinblad, Mureddu, Francesco, Neri, Emanuele, Osika, Walter, Ozols, Matiss, Panigutti, Cecilia, Parent, Brendan, Pratesi, Francesca, Moreno-Sanchez, Pedro A, Sartor, Giovanni, Savardi, Mattia, Signoroni, Alberto, Sormunen, Hanna-Maria, Spezzatti, Andy, Srivastava, Adarsh, Stephansen, Annette F, Theng, Lau Bee, Tithi, Jesmin Jahan, Tuominen, Jarno, Umbrello, Steven, Vaccher, Filippo, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee, Zicari, Roberto V

“…This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for…”
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A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU by Tithi, Jesmin Jahan, Petrini, Fabrizio

“…The Word Movers Distance (WMD) measures the semantic dissimilarity between two text documents by computing the cost of optimally moving all words of a…”
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Assessing Trustworthy AI in times of COVID-19. Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients by Allahabadi, Himanshi, Amann, Julia, Balot, Isabelle, Beretta, Andrea, Binkley, Charles, Bozenhard, Jonas, Bruneault, Frederick, Brusseau, James, Candemir, Sema, Cappellini, Luca Alessandro, Castagnet, Genevieve Fieux, Chakraborty, Subrata, Cherciu, Nicoleta, Cociancig, Christina, Coffee, Megan, Ek, Irene, Espinosa-Leal, Leonardo, Farina, Davide, Fieux-Castagnet, Genevieve, Frauenfelder, Thomas, Gallucci, Alessio, Giuliani, Guya, Golda, Adam, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Krier, Sebastien A., Kuhne, Ulrich, Lizzi, Francesca, Madai, Vince I., Markus, Aniek F., Masis, Serg, Mathez, Emilie Wiinblad, Mureddu, Francesco, Neri, Emanuele, Osika, Walter, Ozols, Matiss, Panigutti, Cecilia, Parent, Brendan, Pratesi, Francesca, Moreno-Sanchez, Pedro A., Sartor, Giovanni, Savardi, Mattia, Signoroni, Alberto, Sormunen, Hanna, Spezzatti, Andy, Srivastava, Adarsh, Stephansen, Annette F., Theng, Lau Bee, Tithi, Jesmin Jahan, Tuominen, Jarno, Umbrello, Steven, Vaccher, Filippo, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee, Zicari, Roberto V.

“…The paper's main contributions are twofold: to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for…”
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An Optimal Level-synchronous Shared-memory Parallel BFS Algorithm with Optimal parallel Prefix-sum Algorithm and its Implications for Energy Consumption by Tithi, Jesmin Jahan, Fogel, Yonatan, Chowdhury, Rezaul

“…We present a work-efficient parallel level-synchronous Breadth First Search (BFS) algorithm for shared-memory architectures which achieves the theoretical…”
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Ridgeline: A 2D Roofline Model for Distributed Systems by Checconi, Fabio, Tithi, Jesmin Jahan, Petrini, Fabrizio

“…In this short paper, we introduce the Ridgeline model, an extension of the Roofline model [4] for distributed systems. The Roofline model targets shared memory…”
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Engineering High-performance Parallel Algorithms with Applications to Bioinformatics by Tithi, Jesmin Jahan

“…Since the beginning of the last decade, plateauing of the clock speed of computer processors has forced us to invest more in parallelism — for both hardware…”
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An Efficient Shared-memory Parallel Sinkhorn-Knopp Algorithm to Compute the Word Mover's Distance by Tithi, Jesmin Jahan, Petrini, Fabrizio

“…The Word Mover's Distance (WMD) is a metric that measures the semantic dissimilarity between two text documents by computing the cost of moving all words of a…”
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Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing by Wu, Hanjiang, Xu, Huan, Park, Joongun, Tithi, Jesmin Jahan, Checconi, Fabio, Wolfson-Pou, Jordi, Petrini, Fabrizio, Krishna, Tushar

“…Influence Maximization (IM) is vital in viral marketing and biological network analysis for identifying key influencers. Given its NP-hard nature, approximate…”
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Online and Real-time Object Tracking Algorithm with Extremely Small Matrices by Tithi, Jesmin Jahan, Aananthakrishnan, Sriram, Petrini, Fabrizio

“…Online and Real-time Object Tracking is an interesting workload that can be used to track objects (e.g., car, human, animal) in a series of video sequences in…”
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Performance Optimization of SU3_Bench on Xeon and Programmable Integrated Unified Memory Architecture by Tithi, Jesmin Jahan, Checconi, Fabio, Doerfler, Douglas, Petrini, Fabrizio

“…SU3\_Bench is a microbenchmark developed to explore performance portability across multiple programming models/methodologies using a simple, but nontrivial,…”
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