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Publication search results
found 25 matches
- 2024
- Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly:
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. IEEE Trans. Emerg. Top. Comput. 12(1): 60-72 (2024) - 2021
- Ivan Benemerito, W. Griffiths, James Allsopp, W. Furnass, P. Bhattacharya, Xinshan Li, A. Marzo, S. Wood, Marco Viceconti, Andrew J. Narracott:
Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data. Comput. Methods Programs Biomed. 208: 106200 (2021) - Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CLOUD 2021: 433-444 - Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CoRR abs/2107.11536 (2021) - 2020
- Vasco Amaral, Beatriz Norberto, Miguel Goulão, Marco Aldinucci, Siegfried Benkner, Andrea Bracciali, Paulo Carreira, Edgars Celms, Luís Correia, Clemens Grelck, Helen D. Karatza, Christoph W. Kessler, Peter Kilpatrick, Hugo F. M. C. Martiniano, Ilias Mavridis, Sabri Pllana, Ana Respício, José Simão, Luís Veiga, Ari Visa:
Programming languages for data-Intensive HPC applications: A systematic mapping study. Parallel Comput. 91 (2020) - 2019
- Oleg Kiselyov, Anil Madhavapeddy, K. C. Sivaramakrishnan, Suresh Jagannathan:
Programming Language Support for Data-intensive Applications (NII Shonan Meeting 143). NII Shonan Meet. Rep. 2019 (2019) - 2018
- Breno Dantas Cruz:
Programming support for data intensive distributed mobile applications at the edge. MOBILESoft@ICSE 2018: 37-38 - 2017
- Renke Wu, Linpeng Huang, Peng Yu, Haojie Zhou:
SunwayMR: A distributed parallel computing framework with convenient data-intensive applications programming. Future Gener. Comput. Syst. 71: 43-56 (2017) - Patrick Rein, Marcel Taeumel, Robert Hirschfeld, Michael Perscheid:
Exploratory Development of Data-intensive Applications: Sampling and Streaming of Large Data Sets in Live Programming Environments. Programming 2017: 25:1-25:11 - 2016
- Emanuele Carlini, Patrizio Dazzi, Matteo Mordacchini:
A Holistic Approach for High-level Programming of Next-generation Data-intensive Applications Targeting Distributed Heterogeneous Computing Environment. Cloud Forward 2016: 131-134 - 2015
- Bilal Jan:
Parallel and Distributed Programing for Data Computation Intensive Applications. Polytechnic University of Turin, Italy, 2015 - Florin Balasa, Noha Abuaesh, Ilie I. Luican, Hongwei David Zhu:
Scratch-pad memory banking by dynamic programming for embedded data-intensive applications. ISQED 2015: 490-494 - 2014
- Claudia Rosas, Anna Sikora, Josep Jorba, Andreu Moreno, Eduardo César:
Improving Performance on Data-Intensive Applications Using a Load Balancing Methodology Based on Divisible Load Theory. Int. J. Parallel Program. 42(1): 94-118 (2014) - Yuki Kitsukawa, Manato Hirabayashi, Shinpei Kato, Masato Edahiro:
Exploring the problem of GPU programming for data-intensive applications: a case study of multiple expectation maximization for motif elicitation. SoICT 2014: 256-262 - Edward Givelberg:
Process-Oriented Parallel Programming with an Application to Data-Intensive Computing. CoRR abs/1407.5524 (2014) - 2012
- Renata Slota:
Storage QoS provisioning for execution programming of data-intensive applications. Sci. Program. 20(1): 69-80 (2012) - 2011
- Shaoshan Liu, Ligang Wang, Xiao-Feng Li, Jean-Luc Gaudiot:
Space-and-Time Efficient Parallel Garbage Collector for Data-Intensive Applications. Int. J. Parallel Program. 39(4): 451-472 (2011) - Jinshan Pang, Li-zhen Cui, Yongqing Zheng, Haiyang Wang:
A workflow-oriented cloud computing framework and programming model for data intensive application. CSCWD 2011: 356-361 - 2007
- Grzegorz Falda, Piotr Habela, Krzysztof Kaczmarski, Krzysztof Stencel, Kazimierz Subieta:
Platform-Independent Programming of Data-Intensive Applications Using UML. CEE-SET 2007: 103-115 - 2006
- Nikolas Kroupis, Nikolaos D. Zervas, Minas Dasygenis, Konstantinos Tatas, Antonios Argyriou, Dimitrios Soudris, Antonios Thanailakis:
Behavioral-Level Performance and Power Exploration of Data-Intensive Applications Mapped on Programmable Processors. J. VLSI Signal Process. 44(1-2): 153-171 (2006) - 2003
- Roxana Diaconescu, Reidar Conradi:
Distributed Recursive Sets: Programmability and Effectiveness for Data Intensive Applications. CLUSTER 2003: 483-486 - 2002
- Eric Senn, Nathalie Julien, Johann Laurent, Eric Martin:
Power Consumption Estimation of a C Program for Data-Intensive Applications. PATMOS 2002: 332-341 - 1992
- Filippo Cacace, Stefano Ceri, Letizia Tanca, Stefano Crespi-Reghizzi:
Designing and Prototyping Data-Intensive Applications in the Logres and Algres Programming Environment. IEEE Trans. Software Eng. 18(6): 534-546 (1992) - 1990
- Winfried Lamersdorf:
Data-Intensive Applications in Open Networks: Extending the Modelling, Programming and Communication Support. DEXA 1990: 138-145 - 1980
- Michael Hammer, Brian Berkowitz:
DIAL: A Programming Language for Data Intensive Applications. SIGMOD Conference 1980: 75-92
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