LEADER 02813nam 2200685 a 450 001 9910453042403321 005 20200520144314.0 010 $a1-118-72164-0 010 $a1-118-24009-X 010 $a1-280-99527-0 010 $a9786613766885 010 $a1-118-22700-X 035 $a(CKB)2550000000107500 035 $a(EBL)832578 035 $a(OCoLC)799767333 035 $a(SSID)ssj0000696059 035 $a(PQKBManifestationID)12328948 035 $a(PQKBTitleCode)TC0000696059 035 $a(PQKBWorkID)10678235 035 $a(PQKB)10079495 035 $a(MiAaPQ)EBC832578 035 $a(CaSebORM)9781118174081 035 $a(Au-PeEL)EBL832578 035 $a(CaPaEBR)ebr10579490 035 $a(CaONFJC)MIL376688 035 $a(EXLCZ)992550000000107500 100 $a20120403d2012 uy 0 101 0 $aeng 135 $aurunu||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering Autodesk Revit Architecture 2013$b[electronic resource] /$fPhil Read, Eddy Krygiel, James Vandezande 205 $a1st ed. 210 $aIndianapolis $cJohn Wiley & Sons$d2012 215 $a1 online resource (1138 p.) 225 1 $aAutodesk official training guide 225 1 $aSybex serious skills 300 $aIncludes index. 311 $a1-118-17408-9 327 $apt. 1. Fundamentals -- pt. 2. Understanding the workflow -- pt. 3. Modeling and massing for design -- pt. 4. Extended modeling techniques -- pt. 5. Documentation -- pt. 6. Construction and beyond. 330 $aLearn BIM the Revit Way Revit is Autodesk's industry-leading Building Information Modeling (BIM) software, and this Autodesk Official Training Guide thoroughly covers core Revit topics such as modeling, massing, sustainability, and more. It also brings you up to speed on advanced techniques such as using Revit in the cloud and how to go direct to fabrication. Organized by real-world workflows, this book covers the interface, templates, worksharing, modeling and massing, visualization techniques for different industries, sustainability, roofs and floors, stairs and railing 606 $aArchitectural drawing$xComputer-aided design 606 $aArchitectural design$xData processing 608 $aElectronic books. 615 0$aArchitectural drawing$xComputer-aided design. 615 0$aArchitectural design$xData processing. 676 $a006.693 676 $a720.28/40285536 676 $a720.2840285536 700 $aRead$b Phil$0903869 701 $aKrygiel$b Eddy$f1972-$0977117 701 $aVandezande$b James$f1972-$0977116 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453042403321 996 $aMastering Autodesk Revit Architecture 2013$92294986 997 $aUNINA LEADER 04736nam 22006255 450 001 9910734841203321 005 20251008145221.0 010 $a3-031-29769-5 024 7 $a10.1007/978-3-031-29769-4 035 $a(MiAaPQ)EBC30620215 035 $a(Au-PeEL)EBL30620215 035 $a(DE-He213)978-3-031-29769-4 035 $a(PPN)272256021 035 $a(CKB)27483031000041 035 $a(EXLCZ)9927483031000041 100 $a20230705d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh Performance Computing in Clouds $eMoving HPC Applications to a Scalable and Cost-Effective Environment /$fedited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (337 pages) 311 08$aPrint version: Borin, Edson High Performance Computing in Clouds Cham : Springer International Publishing AG,c2023 9783031297687 327 $aChapter. 1. Why move HPC applications to the Cloud? -- Part. I. Foundations -- Chapter. 2. What is Cloud Computing? -- Chapter. 3. What do HPC applications look like? -- Part. II. Running HPC Applications in Cloud -- Chapter. 4. Deploying and Configuring Infrastructure -- Chapter. 5. Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers -- Chapter. 6. Designing Cloud-friendly HPC Applications -- Chapter. 7. Exploiting Hardware Accelerators in Clouds -- Part III. Cost and Performance Optimizations -- Chapter. 8. Optimizing Infrastructure for MPI Applications -- Chapter. 9. Harnessing Low-Cost Virtual Machines on the Spot -- Chapter. 10. Ensuring Application Continuity with Fault Tolerance Techniques -- Chapter. 11. Avoiding Resource Wastage -- Part. IV. Application Study Cases -- Chapter. 12. Biological Sequence Comparison on Cloud-based GPU Environment -- Chapter. 13. Oil & Gas Reservoir Simulation in the Cloud -- Chapter. 14. Cost effective deep learning on the cloud -- Appendix A. Deploying an HPC cluster on AWS -- Appendix B. Configuring a cloud-deployed HPC cluster. 330 $aThis book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components andaspects necessary to train these models via different types of services offered by cloud providers. Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications. 606 $aCloud computing 606 $aBig data 606 $aMachine learning 606 $aCloud Computing 606 $aBig Data 606 $aMachine Learning 615 0$aCloud computing. 615 0$aBig data. 615 0$aMachine learning. 615 14$aCloud Computing. 615 24$aBig Data. 615 24$aMachine Learning. 676 $a004.6782 676 $a004.6782 700 $aBorin$b Edson$01373776 701 $aDrummond$b Lúcia Maria A$01373777 701 $aGaudiot$b Jean-Luc$01017756 701 $aMelo$b Alba$01373778 701 $aMelo Alves$b Maicon$01373779 701 $aNavaux$b Philippe Olivier Alexandre$01373780 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734841203321 996 $aHigh Performance Computing in Clouds$93404899 997 $aUNINA