001480964 000__ 03652cam\\22006137i\4500 001480964 001__ 1480964 001480964 003__ OCoLC 001480964 005__ 20231031003316.0 001480964 006__ m\\\\\o\\d\\\\\\\\ 001480964 007__ cr\cn\nnnunnun 001480964 008__ 230920s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001480964 019__ $$a1398210256 001480964 020__ $$a9783031439438$$q(electronic bk.) 001480964 020__ $$a3031439430$$q(electronic bk.) 001480964 020__ $$z9783031439421 001480964 020__ $$z3031439422 001480964 0247_ $$a10.1007/978-3-031-43943-8$$2doi 001480964 035__ $$aSP(OCoLC)1398311264 001480964 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dWSU 001480964 049__ $$aISEA 001480964 050_4 $$aQA76.58 001480964 08204 $$a004/.35$$223/eng/20230920 001480964 1112_ $$aJSSPP (Workshop)$$n(26th :$$d2023 :$$cSaint Petersburg, Fla.) 001480964 24510 $$aJob scheduling strategies for parallel processing :$$b26th Workshop, JSSPP 2023, St. Petersburg, FL, USA, May 19, 2023, Revised selected papers /$$cDalibor Klusáček, Julita Corbalán, Gonzalo P. Rodrigo, editors. 001480964 2463_ $$aJSSPP 2023 001480964 264_1 $$aCham :$$bSpringer,$$c2023. 001480964 300__ $$a1 online resource (ix, 193 pages) :$$billustrations (some color). 001480964 336__ $$atext$$btxt$$2rdacontent 001480964 337__ $$acomputer$$bc$$2rdamedia 001480964 338__ $$aonline resource$$bcr$$2rdacarrier 001480964 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14283 001480964 500__ $$aIncludes author index. 001480964 5050_ $$aArchitecture of the Slurm Workload Manager -- Asynchronous Execution of Heterogeneous Tasks in ML-driven HPC Workflows -- Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments -- Stragglers in Distributed Matrix Multiplication -- Optimization Metrics for the Evaluation of Batch Schedulers in HPC -- An experimental analysis of regression-obtained HPC scheduling heuristics -- An efficient approach based on graph neural networks for predicting wait time in job schedulers -- Evaluating the Potential of Coscheduling on High-Performance Computing Systems -- Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation. 001480964 506__ $$aAccess limited to authorized users. 001480964 520__ $$aThis book constitutes the thoroughly refereed post-conference proceedings of the 26th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2023, held in St. Petersburg, FL, USA, during May 19, 2023. The 8 full papers and one keynote paper included in this book were carefully reviewed and selected from 14 submissions. The volume contains two sections: keynote and technical papers. 001480964 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 20, 2023). 001480964 650_0 $$aParallel processing (Electronic computers)$$vCongresses.$$vCongresses$$0(DLC)sh2008108874 001480964 650_0 $$aComputer capacity$$vCongresses. 001480964 650_0 $$aProduction scheduling$$vCongresses.$$xData processing$$0(DLC)sh2010108565 001480964 655_0 $$aElectronic books. 001480964 655_7 $$aConference papers and proceedings.$$2lcgft 001480964 7001_ $$aKlusáĉek, Dalibor,$$eeditor.$$1https://orcid.org/0000-0001-6434-4433 001480964 7001_ $$aCorbalán, Julita,$$eeditor.$$1https://orcid.org/0000-0002-3926-5634 001480964 7001_ $$aRodrigo, Gonzalo P.,$$eeditor. 001480964 77608 $$iPrint version: $$z3031439422$$z9783031439421$$w(OCoLC)1393242379 001480964 830_0 $$aLecture notes in computer science ;$$v14283.$$x1611-3349 001480964 852__ $$bebk 001480964 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-43943-8$$zOnline Access$$91397441.1 001480964 909CO $$ooai:library.usi.edu:1480964$$pGLOBAL_SET 001480964 980__ $$aBIB 001480964 980__ $$aEBOOK 001480964 982__ $$aEbook 001480964 983__ $$aOnline 001480964 994__ $$a92$$bISE