The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
SETI@home: an experiment in public-resource computing
Abstract
Millions of computer owners worldwide contribute computer time to the search for extraterrestrial intelligence, performing the largest computation ever.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The SETI@home project formed the world's largest virtual supercomputer, with over 5 million volunteers in 2011 (Anderson et al., 2002; Berkeley SETI, n.d.).”
From The Astrobiology Primer v2.0 (2016) · cites this paper as Anderson et al., 2002
Citations
Cites
The Grid 2: Blueprint for a New Computing Infrastructure
Foster, I. T., & Kesselman, C. (1998) · Cited by 7,599
PVM: A framework for parallel distributed computing
Sunderam, V. S. (1990) · Concurrency Practice and Experience · doi:10.1002/cpe.4330020404 · Cited by 1,168
(2001) · Cited by 1,052
Searching for Interstellar Communications
COCCONI, G., & MORRISON, P. (1959) · Nature · doi:10.1038/184844a0 · Cited by 549
SETI@home-massively distributed computing for SETI
Korpela, E., Werthimer, D. J., Anderson, D. P., Cobb, J., & Leboisky, M. (2001) · Computing in Science & Engineering · doi:10.1109/5992.895191 · Cited by 419
Self-citation7. Searching for Interstellar Communications
Cocconi, G., & Morrison, P. (1979) · Harvard University Press eBooks · doi:10.4159/harvard.9780674366688.c9 · Cited by 337
The “worm” programs—early experience with a distributed computation
Shoch, J. F., & Hupp, J. A. (1999) · International Conference on Mobile Technology, Applications, and Systems · Cited by 284
Sabotage-tolerance mechanisms for volunteer computing systems
Sarmenta, L. F. G. (2002) · Future Generation Computer Systems · doi:10.1016/s0167-739x(01)00077-2 · Cited by 274
Doyle, J. F. (2001) · Ubiquity · doi:10.1145/377424.377427 · Cited by 44
Sharing the Universe: Perspectives on Extraterrestrial Life
Shostak, S. (1998) · Cited by 25
Research works printed but not linked: 6
- Foster I., 1999, Morgan Kauffman
- Molnar D. The SETI@home problem. ACM Crossroads (Sept. 2000); see www.acm.org/crossroads/columns/onpatrol/september2000.html. Molnar D. The SETI@home problem. ACM Crossroads (Sept. 2000); see www.acm.org/crossroads/columns/onpatrol/september2000.html.
- 10.5555/560889.792320 · DOI
- 10.1145/358453.358455 · DOI
- Shostak S., 1998, Berkeley Hills Books
- Werthimer D., 1997, Eds. Proceedings of the 5th International Conference on Bioastronomy, IAU Colloquium No. 161 (Capri, July 1--5). Editrice Compositori
Cited by
Sorted by citations
Items 601–700 of 1,001
Bezzine, S., Galtier, V., Vialle, S., Baudé, F., Bossy, M., Doan, V. D., & Henrio, L. (2006) · International Conference on e-Science · doi:10.1109/e-science.2006.261133 · Cited by 6
Busch, M. W., & Reddick, R. (2011) · State University of New York Press eBooks · doi:10.2307/jj.18254198.33 · Cited by 6
Cache-Enabled Super-Peer Overlays for Multiple Job Submission on Grids
Cozza, P., Talia, D., Mastroianni, C., Kelley, I., & Taylor, I. (2008) · Springer eBooks · doi:10.1007/978-0-387-78446-5_11 · Cited by 6
A secured hierarchical trust management framework for public computing utilities
Mitra, A., Udupa, R., & Maheswaran, M. (2005) · Conference of the Centre for Advanced Studies on Collaborative Research · Cited by 6
Improved approximations for multiprocessor scheduling under uncertainty
Crutchfield, C. Y., Dzunic, Z., Fineman, J. T., Karger, D. R., & Scott, J. (2008) · ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) · doi:10.1145/1378533.1378579 · Cited by 6
Master/worker parallel discrete event simulation
Fujimoto, R. M., & Park, A. J. (2009) · Cited by 6
Toth, D. M., & Finkel, D. (2007) · Cited by 6
Machine Learning for Automatic Resource Management in the Datacenter and the Cloud
Yadwadkar, N. J. (2018) · eScholarship (California Digital Library) · Cited by 6
OPEN: Passive Network Performance Estimation for Data-intensive Applications
Kim, J., Chandra, A., & Weissman, J. (2008) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 6
Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments
Chakroun, I. (2013) · HAL · Cited by 6
A framework for pure Peer-to-Peer computing system
Dubey, J., & Tokekar, V. (2012) · IFIP International Conference on Wireless and Optical Communications Networks (WOCN) · doi:10.1109/wocn.2012.6335536 · Cited by 5
Price, D. C. (2024) · Publications of the Astronomical Society of Australia · doi:10.1017/pasa.2024.35 · Cited by 5
Simulating Cheated Results Dissemination for Volunteer Computing
Kopal, N., Kieselmann, O., & Wacker, A. (2015) · International Conference on Future Internet of Things and Cloud (FiCloud) · doi:10.1109/ficloud.2015.50 · Cited by 5
The User-Level Remote Swap Library
Rehr, M., & Vinter, B. (2010) · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · doi:10.1109/hpcc.2010.47 · Cited by 5
EMCloud: A hierarchical volunteer cloud with explicit mobile devices
Malhotra, A., Dhurandher, S. K., Gupta, M., & Kumar, B. (2018) · International Journal of Communication Systems · doi:10.1002/dac.3812 · Cited by 5
Time-aware reactive storage in wireless edge environments
Silva, J. A., Paulino, H., Lourenço, J., Leitao, J. C. A., & Preguiça, N. (2019) · EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) · doi:10.1145/3360774.3360828 · Cited by 5
Fuzzing@Home: Distributed Fuzzing on Untrusted Heterogeneous Clients
Jang, D., Askar, A., Yun, I., Tong, S., Cai, Y., & Kim, T. (2022) · International Symposium on Research in Attacks, Intrusions and Defenses (RAID) · doi:10.1145/3545948.3545971 · Cited by 5
Topology Discovery Using an Address Prefix Based Stopping Rule
Donnet, B., & Friedman, T. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-387-31170-x_9 · Cited by 5
Speeding up systems biology simulations of biochemical pathways using condor
Liu, X., Taylor, S. J. E., Mustafee, N., Wang, J., Gao, Q., & Gilbert, D. (2013) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.3161 · Cited by 5
Parallel B&B Algorithm for Hybrid Multi-core/GPU Architectures
Bendjoudi, A., Chekini, M., Gharbi, M., Mehdi, M., Benatchba, K., Sitayeb-Benbouzid, F., & Melab, N. (2013) · doi:10.1109/hpcc.and.euc.2013.130 · Cited by 5
A survey of desktop grid applications for e-science
Schmidt, B. (2007) · International Journal of Web and Grid Services · doi:10.1504/ijwgs.2007.014957 · Cited by 5
On Supporting Service Selection for Collaborative Multi-cloud Ecosystems in Community Networks
Khan, A. M., Freitag, F., Gupta, S., Muntés-Mulero, V., Dominiak, J., & Matthews, P. (2015) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2015.247 · Cited by 5
Tree-Based Task Scheduling Model and Dynamic Load-Balancing Algorithm for P2P Computing
Lin, W., & Shen, W. (2010) · IEEE International Conference on Computer and Information Technology (CIT) · doi:10.1109/cit.2010.485 · Cited by 5
PyMW - A Python module for desktop grid and volunteer computing
Heien, E. M., Yusuke, T., Kenichi Hagihara, A., & Kornafeld, Á. (2009) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2009.5161132 · Cited by 5
Volunteer Computing on Mobile Devices
Tapparello, C., Funai, C., Hijazi, S., Aquino, A., Karaoglu, B., Ba, H., Shi, J., & Heinzelman, W. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8751-6.ch095 · Cited by 5
Probabilistic Byzantine Tolerance Scheduling in Hybrid Cloud Environments
Arantes, L., Friedman, R., Marin, O., & Sens, P. (2017) · International Conference on Distributed Computing and Networking (ICDCN) · doi:10.1145/3007748.3007770 · Cited by 5
Low-cost cloud computing solution for geo-information processing
Gao, P., Liu, Z., Xie, M., & Tian, K. (2016) · Journal of Central South University · doi:10.1007/s11771-016-3387-3 · Cited by 5
Hierarchical Small World Overlay for Efficient Forwarding in Volunteer Clouds
Hrizi, F., & Laouiti, A. (2017) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2017.160 · Cited by 5
Madoop: Improving Browser-Based Volunteer Computing Based on Modern Web Technologies
Hiroyuki, M., Matsumoto, S., Higo, Y., & Kusumoto, S. (2019) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner.2019.8668014 · Cited by 5
Re-using Open Data by Automatically Building Immersive Virtual Reality Worlds as Personal Museums
Scarano, V., Andreoli, R., Monaco, D., Negro, A., Santangelo, G., & Vicidomini, L. (2019) · Annual International Conference on Digital Government Research · doi:10.1145/3325112.3325258 · Cited by 6
The personal cloud: design, architecture and matchmaking algorithms for resource management
Hari, A., Viswanathan, R., Lakshman, T. V., & Chang, Y. (2012) · Cited by 5
Arkheia: Data Management and Communication for Open Computational Neuroscience
Antolík, J., & Davison, A. P. (2018) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2018.00006 · Cited by 5
Martinez, A. D., Osaba, E., Bilbao, M. N., & Ser, J. D. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.06.014 · Cited by 5
Circa: collaborative code offloading among multiple mobile devices
Lin, X., Jiang, J., Li, C. H. Y., Li, B., & Li, B. (2018) · Wireless Networks · doi:10.1007/s11276-018-1824-y · Cited by 5
An approximate mean queue length formula for queueing systems with varying service rate
Zhang, J., Lee, T. T., Ye, T., & Huang, L. P. (2019) · Journal of Industrial and Management Optimization · doi:10.3934/jimo.2019106 · Cited by 5
Outsourcing IOTA proof‐of‐work to volunteer public devices
Sarfraz, U., Zeadally, S., & Alam, M. (2019) · Security and Privacy · doi:10.1002/spy2.98 · Cited by 5
Computation Certification as a Service in the Cloud
Khan, S., & Hamlen, K. W. (2013) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid.2013.75 · Cited by 5
A dependable Peer-to-Peer computing platform
Wang, H., Takizawa, H., & Kobayashi, H. (2007) · Future Generation Computer Systems · doi:10.1016/j.future.2007.03.004 · Cited by 5
Large scale execution of a bioinformatic application on a volunteer grid
Bertis, V., Bolze, R., Desprez, F., & Reed, K. (2008) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2008.4536484 · Cited by 5
Shestak, V., Chong, E. K. P., Maciejewski, A. A., & Siegel, H. J. (2009) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2009.5160916 · Cited by 5
Flexible selection of heterogeneous and unreliable services in large-scale grids
Stein, S., Payne, T. R., & Jennings, N. R. (2009) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2009.0045 · Cited by 5
Using Peer-to-Peer Communication to Improve the Performance of Distributed Computing on the Internet
Tritrakan, K., & Muangsin, V. (2005) · International Conference on Advanced Information Networking and Applications (AINA) · doi:10.1109/aina.2005.337 · Cited by 5
Parallel Scientific Computing on Loosely Coupled Networks of Computers
Collignon, T. P., & van Gijzen, M. B. (2009) · Lecture notes in computational science and engineering · doi:10.1007/978-3-642-03344-5_4 · Cited by 5
Distributed computing environment: Approaches and applications
Zeng, L., Xu, L., Shi, Z., Wang, M., & Wu, W. (2007) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2007.4413876 · Cited by 5
A Multi-Platform Framework for Distributed Computing
Grivas, M., & Kehagias, D. (2008) · Panhellenic Conference on Informatics · doi:10.1109/pci.2008.33 · Cited by 5
Self-Awareness for Dynamic Knowledge Management in Self-Adaptive Volunteer Services
Elhabbash, A., Rami Bahsoon, A., & Peter Tiňo, B. (2017) · IEEE International Conference on Web Services (ICWS) · doi:10.1109/icws.2017.31 · Cited by 5
An Efficient Approach to Solving the Minimum Sudoku Problem
Lin, H.-H., & Wu, I. (2011) · ICGA Journal · doi:10.3233/icg-2011-34403 · Cited by 5
GPFlow: an intuitive environment for web‐based scientific workflow
Rygg, A., Roe, P., Wong, O., & Sumitomo, J. (2007) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.1216 · Cited by 5
P2PPerf: a framework for simulating and optimizing peer‐to‐peer‐distributed computing applications
Ernst-Desmulier, J.-B., Bourgeois, J., & Spies, F. (2007) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.1244 · Cited by 5
Using grid techniques for drug target identification
Jiang, Z., Lu, F., & Zhang, J. (2006) · Journal of drug targeting · doi:10.1080/10611860600866971 · Cited by 5
On Business Grid Demands and Approaches
Franke, C., Hohl, A., Robinson, P., & Scheuermann, B. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74430-6_10 · Cited by 5
High performance: closed frequent itemsets mining inspired by emerging computer architectures
Lucchese, C. (2008) · ARCA (Università Ca' Foscari Venezia) · Cited by 5
Collignon, T. P., & van Gijzen, M. B. (2010) · Springer eBooks · doi:10.1007/978-3-642-11795-4_27 · Cited by 5
Towards a Security Model to Bridge Internet Desktop Grids and Service Grids
Caillat, G., Lodygensky, O., Urbah, E., Fedak, G., & He, H. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00955-6_29 · Cited by 5
Friend-to-Friend Computing - Instant Messaging Based Spontaneous Desktop Grid
Norbisrath, U., Kraaner, K., Vainikko, E., & Batrashev, O. (2008) · International Conference on Internet and Web Applications and Services · doi:10.1109/iciw.2008.87 · Cited by 5
Cornforth, D. J., Atkinson, J., & Spennemann, D. H. R. (2006) · Campus-Wide Information Systems · doi:10.1108/10650740610639705 · Cited by 5
The SDVM - An Approach for Future Adaptive Computer Clusters
Haase, J., Eschmann, F., & Waldschmidt, K. (2005) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2005.432 · Cited by 5
A Distributed Procedure for Bandwidth-Centric Scheduling of Independent-Task Applications
Banino-Rokkones, C. (2005) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2005.19 · Cited by 5
Scalability in a GRID server discovery mechanism
Dahan, S., Nicod, J., & Philippe, L. (2004) · IEEE Workshop on Future Trends of Distributed Computing Systems (FTDCS) · doi:10.1109/ftdcs.2004.1316592 · Cited by 5
Position Papers of the 18th Conference on Computer Science and Intelligence Systems
(2023) · Annals of Computer Science and Information Systems · doi:10.15439/978-83-969601-1-5 · Cited by 5
Resource Discovery and Scheduling in Unstructured Peer-to-Peer Desktop Grids
Kwan, S. K., & Muppala, J. K. (2010) · International Conference on Parallel Processing Workshops (ICPPW) · doi:10.1109/icppw.2010.49 · Cited by 4
Che, D., Zhu, M., Fairfield, J., & Khaleel, M. I. (2012) · Research in Applied Computation Symposium · doi:10.1145/2401603.2401623 · Cited by 4
A Foundation for Defining Security Requirements in Grid Computing
Gouglidis, A., & Mavridis, I. K. (2009) · Panhellenic Conference on Informatics · doi:10.1109/pci.2009.29 · Cited by 4
Trifa, Z., Labidi, M., & Khemakhem, M. A. (2011) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2011.020313 · Cited by 4
Hsu, C.-H., Hong, H.-J., Elgamal, T., Nahrstedt, K., & Venkatasubramanian, N. (2017) · doi:10.1145/3122865.3122876 · Cited by 4
A Bi-Objective Scheduling Algorithm for Desktop Grids with Uncertain Resource Availabilities
Canon, L.-C., Essafi, A., Mounié, G., & Trystram, D. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23397-5_23 · Cited by 4
IP-based Clustering for Peer-to-Peer Overlays
Karwaczyński, P., & Močnik, J. (2007) · Journal of Software · doi:10.4304/jsw.2.2.30-37 · Cited by 4
Costa, F., Veiga, L., & Ferreira, P. A. V. (2012) · Middleware for Grid Computing · doi:10.1145/2405136.2405137 · Cited by 4
Scheduling in an unstructured peer‐to‐peer‐based high performance computing system
Luo, F., Jin, H., Liao, X., & Zhang, Q. (2012) · Kybernetes · doi:10.1108/03684921211275225 · Cited by 4
Scalable and effective peer-to-peer desktop grid system
Kim, J., Nam, B., & Sussman, A. (2014) · Cluster Computing · doi:10.1007/s10586-014-0390-z · Cited by 4
A RESTful messaging system for asynchronous distributed processing
Jacobi, I., & Radul, A. (2010) · International Workshop on RESTful Design · doi:10.1145/1798354.1798385 · Cited by 4
Otten, L., & Dechter, R. (2010) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789814335058_0004 · Cited by 4
Decentralizing Volunteer Computing Coordination
Li, W., & Franzinelli, E. (2016) · Communications in computer and information science · doi:10.1007/978-981-10-2053-7_27 · Cited by 4
Chen, K.-T., Cai, W., Shea, R., Huang, C., Liu, J., Leung, V. C. M., & Hsu, C.-H. (2017) · doi:10.1145/3122865.3122877 · Cited by 4
Secure Cloud Control Using Verifiable Computation
Mahfouzi, R., Aminifar, A., Samii, S., Eles, P., & Peng, Z. (2021) · IEEE International Conference on Omni-layer Intelligent Systems (COINS) · doi:10.1109/coins51742.2021.9524115 · Cited by 4
Visual Low-Code Language for Orchestrating Large-Scale Distributed Computing
Rybiński, K., Śmiałek, M., Šostaks, A., Marek, K., Roszczyk, R., & Wdowiak, M. (2023) · Journal of Grid Computing · doi:10.1007/s10723-023-09666-x · Cited by 4
Taxonomy of Contention Management in Interconnected Distributed Systems
Buyya, R. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b16812-65 · Cited by 4
How to Make BOINC-Based Desktop Grids Even More Popular?
Kacsuk, P. (2011) · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · doi:10.1109/ipdps.2011.350 · Cited by 4
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment
McGough, A. S., & Forshaw, M. (2018) · ACM/SPEC International Conference on Performance Engineering (ICPE) · doi:10.1145/3185768.3186313 · Cited by 4
Corner, M. D., & Levine, B. N. (2018) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3210240.3210326 · Cited by 4
Task Assignment Algorithm Based on Trust in Volunteer Computing Platforms
Xu, L., Qiao, J., Lin, S., & Qi, R. (2019) · Information · doi:10.3390/info10070244 · Cited by 4
Public Involvement as an Element in Designing Environmental Monitoring Programs
William, T., & David, S. (2011) · InTech eBooks · doi:10.5772/27822 · Cited by 4
Adoption of Authenticated Peer-to-Peer Academic Networks – A Case Study of a Failure
Tavares, A., & Amaral, L. A. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-16419-4_35 · Cited by 4
SZTAKI desktop grid: a hierarchical desktop grid system
Kacsuk, P., Marosi, A. C., Kovács, J., Balaton, Z., Gombás, G., Vida, G., & Kornafeld, Á. (2006) · Cited by 4
Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms
Laredo, J. L. J., Merelo, J. J., & Castillo, P. Á. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-10675-0_3 · Cited by 4
Quasi-opportunistic Supercomputing in Grid Environments
Kravtsov, V., Carmeli, D., Dubitzky, W., Orda, A., Schuster, A., Silberstein, M., & Yoshpa, B. (2008) · Springer eBooks · doi:10.1007/978-3-540-69501-1_24 · Cited by 4
Porting applications to a Distributed Computing Infrastucture incorporating Desktop Grids
Kiss, T., Kelley, I., & Kacsuk, P. (2011) · International Symposium on Grids and Clouds (ISGC) · doi:10.22323/1.133.0060 · Cited by 4
A Reputation Trust Management System for Ad-Hoc Mobile Clouds
Hammam, A., & Senbel, S. (2014) · Intelligent systems reference library · doi:10.1007/978-3-662-43616-5_20 · Cited by 4
SZTAKI Desktop Grid: Adapting Clusters for Desktop Grids
Marosi, A. C., Balaton, Z., Kacsuk, P., & Drótos, D. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5597-5_12 · Cited by 4
Estimating Deadline-Miss Probabilities of Tasks in Large Distributed Systems
Wang, D., Gong, B., & Zhao, G. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30767-6_22 · Cited by 4
Parallel VQ compression using PNN algorithm for PC Grid system
Wakatani, A. (2008) · Telecommunication Systems · doi:10.1007/s11235-008-9080-6 · Cited by 4
Evaluating Computational Performance of Backpropagation Learning on Graphics Hardware
Takizawa, H., Chida, T., & Kobayashi, H. (2009) · Electronic Notes in Theoretical Computer Science · doi:10.1016/j.entcs.2008.12.087 · Cited by 5
A Grid-enabled CPU Scavenging Architecture and a Case Study of its Use in the Greek School Network
Georgatos, F., Gkamas, V., Ilias, A., Kouretis, G., & Varvarigos, E. (2010) · Journal of Grid Computing · doi:10.1007/s10723-009-9143-2 · Cited by 4
Desell, T., Magdon‐Ismail, M., Szymanski, B. K., Varela, C. A., Willett, B. A., Arsenault, M., & Newberg, H. J. (2011) · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · doi:10.1109/ipdps.2011.346 · Cited by 4
A framework for automatic and secure cycle stealing
Kelly, W., & Roe, P. (2004) · International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia) · doi:10.1109/hpcasia.2004.1324018 · Cited by 4
Fujimoto, N., & Kenichi Hagihara, A. (2006) · IEEE International Conference on Cluster Computing (CLUSTER) · doi:10.1109/clustr.2006.311905 · Cited by 4
YA: Fast and Scalable Discovery of Idle CPUs in a P2P network.
Celaya, J., & Arronategui, U. (2006) · IEEE/ACM International Conference on Grid Computing (GRID) · doi:10.1109/icgrid.2006.310997 · Cited by 4
Vision-based technique for periodical defect detection in hot steel strips
Bulnes, F. G., Usamentiaga, R., Garcia, D. F., Molleda, J., & Rendueles, J. L. (2011) · IEEE Industry Applications Society Annual Meeting (IAS) · doi:10.1109/ias.2011.6074384 · Cited by 4
Reuse by Placement: A Paradigm for Cross-Domain Software Reuse with High Level of Granularity
Xu, Y., Ramanathan, J., Ramnath, R., Singh, N., & Deshpande, S. V. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21347-2_6 · Cited by 4
Networks and MPI for cluster computing
Grant, R. E., & Olivier, S. L. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-803899-4.00006-7 · Cited by 4
Metadata
- Authors
- Anderson, D. P., Cobb, J., Korpela, E., Lebofsky, M., & Werthimer, D.
- Affiliations
- University of California, Berkeley (US)
- Venue
- Communications of the ACM
- Published
- 2002-11
- Volume
- 45
- Issue
- 11
- Pages
- 56-61
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2103363198
- Cited by
- 1,302
- References
- 11
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 11 · 2023: 17 · 2022: 18 · 2021: 21 · 2020: 29 · 2019: 31 · 2018: 36 · 2017: 66 · 2016: 44 · 2015: 60 · 2014: 74 · 2013: 76 · 2012: 81
- FWCI
- 24.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Space Science and Extraterrestrial Life
- Physical Sciences › Computer Science › Computer Science Applications › History of Computing Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Keywords
- SETI@home, distributed computing, SETI, volunteer computing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review