{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:32:27Z","timestamp":1773840747030,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642387081","type":"print"},{"value":"9783642387098","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-44917-2_65","type":"book-chapter","created":{"date-parts":[[2014,8,23]],"date-time":"2014-08-23T01:18:23Z","timestamp":1408756703000},"page":"612-617","source":"Crossref","is-referenced-by-count":5,"title":["Performance Prediction Model and Analysis for Compute-Intensive Tasks on GPUs"],"prefix":"10.1007","author":[{"given":"Khondker S.","family":"Hasan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amlan","family":"Chatterjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sridhar","family":"Radhakrishnan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John K.","family":"Antonio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"65_CR1","doi-asserted-by":"crossref","unstructured":"Sim, J., Dasgupta, A., Kim, H., Vuduc, R.: A Performance Analysis Framework for Identifying Potential Benefits in GPGPU Applications. In: 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2012), New Orleans, Louisiana, pp. 11\u201322 (2012)","DOI":"10.1145\/2145816.2145819"},{"key":"65_CR2","unstructured":"Khondker, S., Hasan, J.K.: Antonio, and Sridhar Radhakrishnan, \u201cA New Composite CPU\/Memory Model for Predicting Efficiency of Multi-core Processing\u201d. In: The 20th IEEE International Symposium on High Performance Computer Architecture (HPCA 2014) Workshop, Orlando, FL, February 15-19 (2014)"},{"issue":"2","key":"65_CR3","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s10766-013-0251-z","volume":"42","author":"J.K. Holmen","year":"2014","unstructured":"Holmen, J.K., Foster, D.L.: Accelerating Single Iteration Performance of CUDA-Based 3D Reaction\u2013Diffusion Simulations. International Journal of Parallel Programming\u00a042(2), 343\u2013363 (2014), doi:10.1007\/s10766-013-0251-z","journal-title":"International Journal of Parallel Programming"},{"issue":"2","key":"65_CR4","doi-asserted-by":"crossref","first-page":"264","DOI":"10.15803\/ijnc.3.2_264","volume":"3","author":"A. Chatterjee","year":"2013","unstructured":"Chatterjee, A., Radhakrishnan, S., Antonio, J.K.: Data Structures and Algorithms for Counting Problems on Graphs using GPU. International Journal of Networking and Computing\u00a03(2), 264\u2013288 (2013)","journal-title":"International Journal of Networking and Computing"},{"key":"65_CR5","unstructured":"Hasan, K.S., Radhakrishnan, S., Antonio, J.K.: Composite Prediction Model and Task Distribution on a Cloud of Multi-core Processors. In: IEEE International Conference on High Performance Computing (HiPC 2014) Workshop, Bangalore, India (December 2013)"},{"key":"65_CR6","unstructured":"Kepler Compute Architecture Technology in a Brief (2012), \n                    \n                      http:\/\/www.nvidia.com\/content\/PDF\/kepler\/NV_DS_Tesla_KCompute_Arch_May_2012_LR.pdf"},{"key":"65_CR7","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Owens, J.D.: A quantitative performance analysis model for GPU architectures. In: 2011 IEEE 17th International Symposium on High Performance Computer Architecture (HPCA), pp. 382\u2013393 (2011)","DOI":"10.1109\/HPCA.2011.5749745"},{"key":"65_CR8","unstructured":"Nvidia CUDA GPU SDK, Sample CUDA Toolkits, \n                    \n                      http:\/\/docs.nvidia.com\/cuda\/cuda-samples\/"},{"key":"65_CR9","unstructured":"CUDA Warps and Occupancy. GPU Computing Webinar (July 2011), \n                    \n                      http:\/\/on-demand.gputechconf.com\/gtc-express\/2011\/presentations\/cuda_webinars_WarpsAndOccupancy.pdf"},{"key":"65_CR10","unstructured":"Lam, S.K.: CUDA Performance: Maximizing Instruction-Level Parallelism (September 2013), \n                    \n                      http:\/\/continuum.io\/blog\/cudapy_ilp_opt"}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44917-2_65","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,27]],"date-time":"2019-05-27T17:07:53Z","timestamp":1558976873000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-44917-2_65"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783642387081","9783642387098"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44917-2_65","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}