Edizione	[3rd ed.]
Pubbl/distr/stampa	Austin, TX, : IBM, International Technical Support Organization, 2004
Descrizione fisica	xxii, 316 p. : ill
Disciplina	004/.35
Altri autori (Persone)	HochstetlerStephen BeringerBob
Collana	IBM redbooks
Soggetto topico	Parallel computers Computer network architectures File organization (Computer science)
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front cover -- Contents -- Figures -- Tables -- Notices -- Trademarks -- Preface -- The team that wrote this redbook -- Become a published author -- Comments welcome -- Summary of changes -- December 2003, Third Edition -- Part 1 Fundamentals -- Chapter 1. Clustering concepts and general overview -- 1.1 What is a cluster -- 1.2 Cluster types -- 1.2.1 High availability -- 1.2.2 High performance computing -- 1.2.3 Horizontal scaling -- 1.3 Beowulf clusters -- 1.4 Linux, open source, and clusters -- 1.5 IBM Linux clusters -- 1.5.1 xSeries custom-order clusters -- 1.5.2 The IBM eServer Cluster 1350 -- 1.6 Cluster logical structure -- 1.6.1 Cluster node types and xSeries offerings -- 1.7 Other cluster hardware components -- 1.7.1 Networks -- 1.7.2 Storage -- 1.7.3 Terminal servers -- 1.7.4 Keyboard, video, and mouse switches -- 1.8 Cluster software -- Chapter 2. New Linux cluster offering from IBM: Cluster 1350 -- 2.1 Product overview -- 2.2 Hardware -- 2.2.1 Racks -- 2.2.2 Cluster nodes -- 2.2.3 Remote Supervisor Adapters -- 2.2.4 External storage -- 2.2.5 Networking -- 2.2.6 Terminal servers -- 2.2.7 Hardware console: Keyboard, video, and mouse (KVM) -- 2.3 Software -- 2.3.1 Linux operating system -- 2.3.2 IBM Cluster Systems Management (CSM) for Linux -- 2.3.3 General Parallel File System for Linux -- 2.3.4 Other software considerations -- 2.4 Services -- 2.4.1 Installation planning services -- 2.4.2 On-site installation of the IBM eServer Cluster 1350 -- 2.4.3 Warranty service and support -- 2.4.4 Project support services -- 2.4.5 Installation and customization -- 2.4.6 Continuing support services -- 2.5 Summary -- Chapter 3. Introducing Cluster Systems Management for Linux -- 3.1 IBM Cluster Systems Management overview -- 3.2 CSM architecture -- 3.2.1 Resource Monitoring and Control subsystem -- 3.2.2 CSM components -- 3.2.3 Security in CSM. 3.3 CSM monitoring -- 3.3.1 How CSM monitors a system -- 3.3.2 Resource Managers -- 3.3.3 Predefined conditions -- 3.3.4 Responses -- 3.3.5 Associating conditions and responses -- 3.3.6 Creating new conditions and responses -- 3.4 CSM management components -- 3.4.1 Node and group management commands -- 3.4.2 Controlling the hardware -- 3.4.3 Using DSH to run commands remotely -- 3.4.4 Configuration File Manager (CFM) -- 3.5 CSM hardware requirements -- 3.5.1 Minimum hardware requirements -- 3.6 Software requirements to run CSM -- 3.6.1 IBM CSM software packages -- 3.6.2 Third party software components -- 3.7 Quick installation process overview -- 3.8 CSM futures -- 3.9 Summary -- Chapter 4. Introducing General Parallel File System for Linux -- 4.1 Introduction to GPFS -- 4.1.1 GPFS terms and definitions -- 4.1.2 What is new in GPFS for Linux Version 1.3 -- 4.1.3 GPFS advantages -- 4.2 GPFS architecture -- 4.2.1 GPFS components -- 4.2.2 GPFS Network Shared Disk considerations -- 4.2.3 GPFS global management functions -- 4.2.4 Disk storage used in GPFS -- 4.2.5 Data and metadata replication capability -- 4.2.6 GPFS and applications -- 4.2.7 Scenario and operation example -- 4.3 GPFS requirements -- 4.3.1 Hardware requirements -- 4.3.2 Software requirements -- 4.4 Summary -- Part 2 Implementation and administration -- Chapter 5. Cluster installation and configuration with CSM -- 5.1 Planning the installation -- 5.1.1 Before you begin -- 5.1.2 Develop a network plan -- 5.1.3 Develop a hardware resources plan -- 5.1.4 Develop a plan to update your hardware -- 5.1.5 Develop your security plan -- 5.1.6 Installation media -- 5.1.7 Documenting the cluster configuration -- 5.2 Configuring the management server -- 5.2.1 Red Hat Linux 7.3 installation -- 5.2.2 Install additional Red Hat Linux 7.3 packages -- 5.2.3 Install Red Hat Linux 7.3 updates. 5.2.4 NTP configuration -- 5.2.5 Fix syslogd -- 5.2.6 Domain Name System (DNS) configuration -- 5.2.7 Install Terminal Server -- 5.2.8 System Management hardware configuration -- 5.2.9 Configuring environment variables -- 5.2.10 Deciding which remote shell protocol to use -- 5.2.11 Installing the CSM core package -- 5.2.12 Running the CSM installms script -- 5.2.13 Install the license -- 5.2.14 Verify the CSM installation on the management node -- 5.3 CSM installation on compute and storage nodes -- 5.3.1 BIOS settings for compute and storage nodes -- 5.3.2 Preparing to run the definenode command -- 5.3.3 Running the definenode script -- 5.3.4 Verify that rpower works -- 5.3.5 Customize the KickStart template (optional) -- 5.3.6 Running the csmsetupks script -- 5.3.7 Running the installnode script -- 5.3.8 Verifying compute and storage node installation -- 5.3.9 Configuring NTP on your compute and storage nodes -- 5.4 Special considerations for storage node installation -- 5.5 Summary -- Chapter 6. Cluster management with CSM -- 6.1 Changing the nodes in your cluster -- 6.1.1 Replacing nodes -- 6.1.2 Adding new nodes using the full installation process -- 6.1.3 Adding new nodes using the CSM only installation process -- 6.1.4 Removing nodes -- 6.1.5 Changing host names of nodes -- 6.2 Remote controlling nodes -- 6.2.1 Power control -- 6.2.2 Console access -- 6.2.3 Node availability monitor -- 6.2.4 Hardware status and management -- 6.3 Node groups -- 6.4 Running commands on the nodes -- 6.4.1 Distributed shell (dsh) -- 6.4.2 Distributed command execution manager (DCEM) -- 6.5 Configuration File Manager (CFM) -- 6.6 Software maintenance system (SMS) -- 6.7 Event monitoring -- 6.7.1 RMC components -- 6.7.2 Activating condition responses -- 6.7.3 Deactivating condition responses -- 6.7.4 Creating your own conditions and responses -- 6.7.5 RMC audit log. 6.8 Backing up CSM -- 6.9 Uninstalling CSM -- Chapter 7. GPFS installation and configuration -- 7.1 Basic steps to install GPFS -- 7.2 GPFS planning -- 7.2.1 Network implementation -- 7.2.2 Documentation -- 7.3 Preparing the environment -- 7.3.1 Nodes preparation -- 7.3.2 Prerequisite software -- 7.3.3 Prepare kernel source file for GPFS and Myrinet adapter -- 7.3.4 Time synchronization -- 7.3.5 Setting the remote command environment -- 7.3.6 Myrinet adapter installation -- 7.3.7 Prepare external storage for GPFS -- 7.3.8 Setting PATH for the GPFS command -- 7.4 GPFS installation -- 7.4.1 Installing the source files -- 7.4.2 Building the GPFS open source portability layer -- 7.5 Creating the GPFS cluster -- 7.5.1 Creating the GPFS nodes descriptor file -- 7.5.2 Defining the GPFS cluster -- 7.6 Creating the GPFS nodeset -- 7.7 Starting GPFS -- 7.8 Disk definitions -- 7.8.1 GPFS nodeset with NSD network attached servers -- 7.8.2 GPFS nodeset with direct attached disks -- 7.9 Exporting a GPFS file system using NFS -- 7.10 GPFS shutdown -- 7.11 Summary -- Chapter 8. Managing the GPFS cluster -- 8.1 Adding and removing disks from GPFS -- 8.1.1 Adding a new disk to an existing GPFS file system -- 8.1.2 Deleting a disk in an active GPFS file system -- 8.1.3 Replacing a failing disk in an existing GPFS file system -- 8.2 Removing all GPFS file systems and configuration -- 8.3 Access Control Lists (ACLs) -- 8.4 GPFS logs and traces -- 8.4.1 GPFS logs -- 8.4.2 Trace facility -- 8.5 Troubleshooting: Some possible GPFS problems -- 8.5.1 Authorization problems -- 8.5.2 Connectivity problems -- 8.5.3 NSD disk problems -- 8.6 Gather information before contacting Support Center -- Chapter 9. Migrating xCat clusters to CSM -- 9.1 xCAT overview -- 9.2 Migrating xCAT clusters to CSM -- 9.2.1 Using xcat2csm -- 9.2.2 Edit the generated files. 9.2.3 Importing the files into CSM -- 9.3 xCAT and CSM co-existence -- Part 3 Appendixes -- Appendix A. SRC and RSCT -- SRC and RSCT components overview -- System Resource Controller (SRC) -- Subsystem components -- Reliable Scalable Cluster Technology (RSCT) -- Topology Services subsystem -- Group Services (GS) subsystem -- Appendix B. Common facilities -- DNS server -- Package description -- DNS installation -- DNS configuration -- Starting the DNS server -- Testing the DNS server -- BIND logging -- Other features -- OpenSSH -- Package description -- OpenSSH authentication methods -- Update the file /etc/hosts -- Key generation for the root user -- Generation of authorized_keys file -- Distribution of the authorized_keys file to the other nodes -- Ensuring all nodes know each other -- Verification of the SSH configuration -- Additional information and trouble shooting -- Appendix C. Migrating to GPFS 1.3 from earlier versions -- Migration steps -- Appendix D. Planning worksheets -- CSM planning worksheets -- Management node TCP/IP attributes worksheets -- Compute node TCP/IP attributes worksheet -- Node attributes worksheets -- GPFS Planning worksheets -- File system descriptions -- Network File Shared descriptions -- Glossary -- Abbreviations and acronyms -- Related publications -- IBM Redbooks -- Other publications -- Online resources -- How to get IBM Redbooks -- Help from IBM -- Index -- Back cover.
Record Nr.	UNINA-9910813344503321

Edizione	[1st ed.]
Pubbl/distr/stampa	Poughkeepsie, NY, : IBM International Technical Support Organization, 2002
Descrizione fisica	xviii, 278 p. : ill
Disciplina	004/.35
Altri autori (Persone)	SchmidtChristian A
Collana	Redbooks
Soggetto topico	Parallel computers IBM RISC System/6000 computers File organization (Computer science)
Soggetto genere / forma	Electronic books.
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910454606003321

Pubbl/distr/stampa	[Place of publication not identified], : IEEE Computer Society Press, 1994
Descrizione fisica	1 online resource (xiv, 655 pages) : illustrations
Disciplina	004.3
Soggetto topico	Parallel computers Parallel processing (Electronic computers)
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Architecture -- Communications -- Partitioning & mapping -- MPP, status of the art and future trends: the industry point of view -- Workshop on Parallel and Distributed Spatial Data Structures (P-SPADS) -- Adequacy: algorithms-massively parallel computers -- Image processing -- Algorithms -- Programming paradigms -- Performance & reliability evaluation -- Memory structures.
Record Nr.	UNISA-996198229103316

Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica	1 online resource (360 pages)
Disciplina	004.6
Collana	Lecture notes in computer science
Soggetto topico	Computer networks Parallel computers Parallel processing (Electronic computers)
ISBN	3-031-21395-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Organization -- Contents -- Architecture -- A Routing-Aware Mapping Method for Dataflow Architectures -- 1 Introduction -- 2 Background and Related Works -- 2.1 Dataflow Architecture -- 2.2 Related Works -- 3 Motivation -- 4 Our Method -- 5 Evaluation -- 5.1 Methodology -- 5.2 Performance Improvement -- 5.3 Energy Saving -- 5.4 Scalability -- 5.5 Compilation Time -- 6 Conclusion -- References -- Optimizing Winograd Convolution on GPUs via Partial Kernel Fusion -- 1 Introduction -- 2 Background -- 2.1 Implementations of Convolution -- 2.2 Winograd Convolution -- 2.3 NVIDIA GPU Architecture and Tensor Cores -- 3 Related Work -- 4 Methodology -- 4.1 Optimizing EWMM Stage -- 4.2 PKF (Partial Kernel Fusion) -- 5 Implementation and Experiment -- 5.1 Implementation PKF on TVM -- 5.2 Experiment -- 6 Conclusion -- References -- Adaptive Low-Cost Loop Expansion for Modulo Scheduling -- 1 Introduction -- 2 Expanded Modulo Scheduling -- 2.1 Data Dependence Graph -- 2.2 Expansion Count and Iteration Interval -- 2.3 Scheduling -- 2.4 Resolving Expansion Faults -- 2.5 Completing the MRT -- 3 Performance Evaluation -- 3.1 Target Architecture -- 3.2 Adaptation of EMS -- 3.3 Experiment Setup -- 3.4 Experiment Results -- 4 Conclusion -- References -- SADD: A Novel Systolic Array Accelerator with Dynamic Dataflow for Sparse GEMM in Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Dataflows in the Systolic Array -- 2.2 Sparsity -- 3 SADD Architecture -- 3.1 Group-Structure-Maintained Compression -- 3.2 The SIS and SWS -- 3.3 The Performance of SIS and SWS with Different GEMM Sizes -- 3.4 The SDD and SADD -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Performance Comparison of Different Dataflows -- 4.3 Comparison of the SADD and the TPU -- 4.4 Scalability Analysis -- 4.5 Hardware Cost Analysis -- 5 Related Work -- 6 Conclusion. References -- CSR& -- RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication -- 1 Introduction -- 2 The Compressed Sparse Row and Repetition Value Format -- 2.1 CSR& -- RV Representation -- 2.2 SpMV Algorithm -- 3 Experimental Results -- 3.1 Performance Comparison -- 3.2 Memory Overhead -- 3.3 Pre-processing -- 4 Conclusion -- References -- Rgs-SpMM: Accelerate Sparse Matrix-Matrix Multiplication by Row Group Splitting Strategy on the GPU -- 1 Introduction -- 2 Related Work and Motivation -- 3 Rgs-SpMM Design -- 3.1 Data Organization in Rgs-SpMM -- 3.2 Row Group Splitting -- 4 Experiment Evaluations -- 4.1 Overall Performance -- 4.2 Analysis of Results -- 5 Conclusion -- References -- Cloud Computing -- Interference-aware Workload Scheduling in Co-located Data Centers -- 1 Introduction -- 2 Related Work -- 3 Interference-aware Solution -- 3.1 Performance Interference Metric -- 3.2 Performance Interference Model Based on Linear Regression -- 3.3 Interference-aware Workload Scheduling -- 4 Experiment and Evaluation -- 4.1 Prediction Accuracy of Performance Interference Models -- 4.2 Evaluation of Scheduling Strategies on Throughput -- 5 Conclusion -- References -- FaaSPipe: Fast Serverless Workflows on Distributed Shared Memory -- 1 Introduction -- 2 Related Work -- 3 Design and Implementation -- 3.1 The PipeFunc Programming Model -- 3.2 System Architechture of FaaSPipe -- 3.3 Intra-workflow Memory Sharing -- 3.4 Full-Duplex Memory Transfer -- 4 Evaluation -- 4.1 Distributed Word Count -- 4.2 LightGBM -- 4.3 Efficency of FaaSPipe vs. Faasm -- 5 Conclusion -- References -- TopKmer: Parallel High Frequency K-mer Counting on Distributed Memory -- 1 Introduction -- 2 Background -- 2.1 Parallel K-mer Counting -- 2.2 Heavy Hitters -- 3 TopKmer Counter -- 3.1 Multi-layer Hash Table -- 3.2 Insert -- 3.3 Query. 4 Parallel K-Mer Counting Framework -- 5 Results -- 5.1 Experiment Setup -- 5.2 Quality of Counting -- 5.3 Performance Comparison -- 5.4 Scaling Capability -- 5.5 Time Consumption Analysis -- 6 Conclusion -- References -- Flexible Supervision System: A Fast Fault-Tolerance Strategy for Cloud Applications in Cloud-Edge Collaborative Environments -- 1 Introduction -- 2 Flexible Supervision System Architecture -- 3 Fault Detection and Fault-Tolerance Strategy -- 4 Experimental Evaluation -- 5 Related Work -- 6 Conclusions and Future Work -- References -- Adjust: An Online Resource Adjustment Framework for Microservice Programs -- 1 Introduction -- 2 A QoS Awareness Framework for Microservices -- 2.1 Microservice Analyzer (MSA) -- 2.2 Microservice Prediction Model (MSPM) -- 2.3 Microservice Performance Guarantor (MSPG) -- 3 Evaluation -- 3.1 Performance Guarantee -- 3.2 Resource Re-collection -- 4 Conclusion -- References -- Cloud-Native Server Consolidation for Energy-Efficient FaaS Deployment -- 1 Introduction -- 2 Key Design Considerations -- 3 DAC Design -- 3.1 System Overview -- 3.2 Function Classifier -- 3.3 Consolidation Controller -- 4 Evaluation -- 4.1 Methodologies -- 4.2 Evaluation Results -- 5 Conclusion -- References -- Deep Learning -- NeuProMa: A Toolchain for Mapping Large-Scale Spiking Convolutional Neural Networks onto Neuromorphic Processor -- 1 Introduction -- 2 Background -- 2.1 Neuromorphic Processor -- 2.2 Spiking Convolutional Neural Network -- 3 Related Work -- 4 NeuProMa -- 4.1 Splitting -- 4.2 Partitioning -- 4.3 Mapping -- 5 Experiment Setup -- 5.1 Experiment Platform -- 5.2 Evaluated SCNNs -- 6 Experiment Results -- 6.1 Splitting Performance -- 6.2 Partitioning and Mapping Performance -- 7 Conclusion -- References -- Multi-clusters: An Efficient Design Paradigm of NN Accelerator Architecture Based on FPGA -- 1 Introduction. 2 Background -- 2.1 Design Patterns of Accelerator -- 2.2 Related Work -- 3 Overall Method -- 3.1 Division Method -- 3.2 Architecture Design -- 3.3 Design Space Exploration -- 3.4 Scheduling Strategy -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Comparison with CPU and GPU -- 4.3 Comparison with Previous FPGA Accelerators -- 5 Conclusion -- References -- TrainFlow: A Lightweight, Programmable ML Training Framework via Serverless Paradigm -- 1 Introduction -- 2 Background and Challenges -- 2.1 Distributed ML Training -- 2.2 Challenges -- 3 TrainFlow Design -- 3.1 Overview -- 3.2 Serverless Process Model and Training Basics -- 3.3 Programmability Extension with Event-Driven Hook -- 4 Implementation -- 5 Evaluation -- 5.1 Availability -- 5.2 Programmability -- 6 Related Work -- 6.1 Classic ML Training -- 6.2 Serverless ML Training -- 7 Conclusion -- References -- DRP:Discrete Rank Pruning for Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Compression Techniques -- 2.2 Sparse Method -- 2.3 Structured Pruning -- 3 Consideration Bias Sparsity -- 4 Discrete Rank Pruning -- 5 Experiment and Evaluation -- 5.1 Datasets and Network Models -- 5.2 Implementation -- 5.3 Results and Analysis on CBS -- 5.4 Results and Analysis on DRP -- 6 Conclusion -- References -- TransMigrator: A Transformer-Based Predictive Page Migration Mechanism for Heterogeneous Memory -- 1 Introduction -- 2 TransMigrator -- 2.1 Design of Neural Network -- 2.2 Page Migration -- 3 Evaluation and Analysis -- 3.1 Trace Collection -- 3.2 Network Training -- 3.3 Migration Simulation -- 3.4 Access Time -- 3.5 Energy Consumption -- 3.6 Network Overhead -- 4 Related Work -- 5 Conclusion -- References -- Hardware Acceleration for 1D-CNN Based Real-Time Edge Computing -- 1 Introduction -- 2 Background -- 2.1 State-of-the-Art CNN Accelerators -- 2.2 CNN in Real-Time Computing. 3 Proposed Architecture for 1D-CNN -- 3.1 Data Reuse -- 3.2 Accelerated 1D-CNN Architecture -- 3.3 Compiler for 1D-CNN Architecture Generation -- 4 Results -- 4.1 Setup -- 4.2 Evaluations of Power, Latency and Bandwidth -- 4.3 Comparative Analysis -- 5 Conclusion -- References -- Emerging Applications -- DLC: An Optimization Framework for Full-State Quantum Simulation -- 1 Introduction -- 2 Background and Related Work -- 2.1 Quantum States and Quantum Circuits -- 2.2 Full-State Quantum Simulator -- 2.3 Related Work -- 3 Framework Overview -- 4 CPU-GPU Locality Enhancement -- 4.1 Data Dependency Analysis -- 4.2 CPU-GPU Locality Enhancement -- 5 Communication Optimization Among Multi-GPU -- 5.1 Challenges of Multi-GPU -- 5.2 Communication Scheme -- 5.3 Optimization of Communication -- 6 Performance Evaluation -- 6.1 Environment Setup -- 6.2 Performance on Single Node -- 6.3 Performance on Multiple Nodes -- 7 Conclusion -- References -- Approximation Algorithms for Reliability-Aware Maximum VoI on AUV-Aided Data Collections -- 1 Introduction -- 2 Related Works -- 2.1 AUV-Aided Data Collection -- 2.2 Orienteering Problem and Variants -- 3 System Model and Problem Definition -- 3.1 System Model -- 3.2 Problem Definition -- 4 Approximation Algorithm for the Path Finding Problem -- 4.1 Approximation Algorithm for the Path Finding Problem Without Real-Time VoI Decay -- 4.2 Approximation Algorithm for the Path Finding Problem with Real-Time VoI Decay -- 5 Simulation and Performance Evaluation -- 6 Conclusion -- References -- CCSBD: A Cost Control System Based on Blockchain and DRG Mechanism -- 1 Introduction -- 2 Related Work -- 3 System Design -- 3.1 System Overview -- 3.2 Medical Evidence-Based Classification Model -- 3.3 Contract Strategy for Clinical Data Sharing -- 4 Evaluation -- 5 Discussion -- 6 Conclusion -- References. Number of UAVs and Mission Completion Time Minimization in Multi-UAV-Enabled IoT Networks.
Record Nr.	UNINA-9910633930803321

Autore	Salapura Valentina
Pubbl/distr/stampa	[Place of publication not identified], : Association for Computing Machinery, 2010
Descrizione fisica	1 online resource (596 p.;)
Disciplina	004/.35
Collana	ACM Conferences
Soggetto topico	Parallel computers Computer architecture Parallel processing (Electronic computers) Compiling (Electronic computers) Compilers (Computer programs) Engineering & Applied Sciences Computer Science
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Altri titoli varianti	PACT '10
Record Nr.	UNINA-9910138611403321