[go: up one dir, main page]

Arora et al., 2011 - Google Patents

Cluster based Performance Evaluation of Run-length Image Compression

Arora et al., 2011

Document ID
2487427775746799963
Author
Arora A
Chhabra A
Sohal H
Publication year
Publication venue
International Journal of Computer Applications

External Links

Snippet

Modern data processing tasks involving high computation with huge data intensive work are not providing any usual response as they run over a conventional computing architecture, where the synergism capabilities of such machines are limited to single central processing …
Continue reading at ijca.phdfocus.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • G06F15/163Interprocessor communication
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F1/00Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Similar Documents

Publication Publication Date Title
Nguyen et al. Horizontal pod autoscaling in kubernetes for elastic container orchestration
CN113435682B (en) Gradient compression for distributed training
Murphy et al. Introducing the graph 500
Hauswald et al. Djinn and tonic: Dnn as a service and its implications for future warehouse scale computers
Seo et al. HPMR: Prefetching and pre-shuffling in shared MapReduce computation environment
Han et al. On big data benchmarking
US20120060167A1 (en) Method and system of simulating a data center
JP6386089B2 (en) Optimized browser rendering process
Fiore et al. On the road to exascale: Advances in High Performance Computing and Simulations—An overview and editorial
Qureshi et al. Gem5-x: A many-core heterogeneous simulation platform for architectural exploration and optimization
Patel et al. Machine learning based statistical prediction model for improving performance of live virtual machine migration
CN105824780A (en) Parallel development method based on single machine and multiple FPGA
Khorassani et al. Performance evaluation of MPI libraries on GPU-enabled OpenPOWER architectures: Early experiences
Chopra et al. Comparative analysis of optimizing aws inferentia with fastapi and pytorch models
Castillo et al. Financial applications on multi-CPU and multi-GPU architectures
Karamchandani et al. A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector
Eliopoulos et al. Pruning one more token is enough: Leveraging latency-workload non-linearities for vision transformers on the edge
Arora et al. Cluster based Performance Evaluation of Run-length Image Compression
Khaydarova et al. ROCK-CNN: a distributed RockPro64-based convolutional neural network cluster for IoT. Verification and performance analysis
US20230386342A1 (en) Computing platform for vehicle data collection and analysis
González et al. Impact of ML optimization tactics on greener pre-trained ML models
WO2023109134A1 (en) Quantum circuit buffering
Künas Optimizing machine learning models training in the cloud
Vivas et al. Estimating the overhead and coupling of scientific computing clusters
Mehendale Scalable architecture for machine learning applications