Geometry.Net - the online learning center
Home  - Basic_P - Parallel Computing Programming Bookstore
Page 6     101-120 of 121    Back | 1  | 2  | 3  | 4  | 5  | 6  | 7  | Next 20
A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

         Parallel Computing Programming:     more books (100)
  1. Parallel Computing in Optimization (Applied Optimization)
  2. Parallel Computing Technologies: 7th International Conference, PaCT 2003, Novosibirsk, Russia, September 15-19, 2003, Proceedings (Lecture Notes in Computer Science)
  3. Algorithms And Tools for Parallel Computing on Heterogeneous Clusters
  4. Implementations of Distributed Prolog (Wiley Series in Parallel Computing) by Peter Kacsuk, Michael J. Wise, 1992-08
  5. Parallel Computing on Distributed Memory Multiprocessors (NATO ASI Series / Computer and Systems Sciences)
  6. Languages and Compilers for Parallel Computing: 14th International Workshop, LCPC 2001, Cumberland Falls, KY, USA, August 1-3, 2001, Revised Papers (Lecture Notes in Computer Science)
  7. Network and Parallel Computing: IFIP International Conference, NPC 2004, Wuhan, China, October 18-20, 2004. Proceedings (Lecture Notes in Computer Science)
  8. Languages and Compilers for Parallel Computing: 14th International Workshop, LCPC 2001, Cumberland Falls, KY, USA, August 1-3, 2001, Revised Papers (Lecture Notes in Computer Science)
  9. Parallel Computing: Methods, Algorithms and Applications
  10. Advances in Optimization and Parallel Computing: Honorary Volume on the Occasion of J.B. Rosen's 70th Birthday
  11. Languages, Compilers and Run-Time Environments for Distributed Memory Machines (Advances in Parallel Computing, Vol 3) by Joel Saltz, 1992-06
  12. Parallel Computing 1988: Shell Conference, Amsterdam, The Netherlands, June 1/2, 1988; Proceedings (Lecture Notes in Computer Science)
  13. Introduction to Parallel Computing by Ted G. Lewis, Hesham El-Rewini, 1992-01
  14. Languages and Compilers for Parallel Computing (Research Monographs in Parallel and Distributed Computing) by David Gelernter, Alexandru Nicolau, et all 1990-05-22

101. Parallel Computing Class
Stout s class in parallel computing. Graduate students in the Scientificcomputing program administered through LaSC (Laboratory for Scientific
EECS 587, Parallel Computing
Professor: Quentin F. Stout
Parallel computers are easy to build - it's the software that takes work.
Typically about half the class is from Computer Science and Engineering, and half is from a wide range of other areas throughout the sciences, engineering, and medicine. Some CSE students want to become researchers in parallel computing or grid computing, while students outside CSE typically intend to apply parallel computing to their discipline, working on problems too large to be solved via standard single processor machines. Students range from seniors through postdocs, and occasionally faculty sit in on the course as well.
Satisfying Degree Requirements
This course can be used to satisfy requirements in a variety of degree programs.
  • CSE Graduate Students: it satisfies general 500-level requirements for the MA and PhD.
  • CSE Undergraduates: it satisfies "computer oriented technical elective" requirements for the CE and CS degrees.
  • Rackam Graduate Students (other than CSE): it fulfills the cognate requirements.
  • Graduate students in the Scientific Computing program administered through LaSC (Laboratory for Scientific Computing): it satisfies computer science distributional requirements. Most of the students in this program take this class.

102. Parallel Computing Works
A book about parallel computing, focusing on a few specific research projectsdone at Caltech.
Next: Contents
Parallel Computing Works
This book describes work done at the Caltech Concurrent Computation Program , Pasadena, Califonia. This project ended in 1990 but the work has been updated in key areas until early 1994. The book also contains links to some current projects.
  • Geoffrey C. Fox
  • Roy D. Williams
  • Paul C. Messina ISBN 1-55860-253-4 Morgan Kaufmann Publishers , Inc. 1994 ordering information
    What is Contained in Parallel Computing Works?
    We briefly describe the contents of this book
    The heart of this work is a set of applications largely developed at Caltech from 1985-1990 by the Caltech Concurrent Computation Group. These are linked to a set of tables and Glossaries Applications are classified into 5 problem classes:
    Synchronous Applications , more in I and II
    Such applications tend to be regular and characterised by algorithms employing simultaneous identical updates to a set of points, more in
  • 103. LAM/MPI Parallel Computing
    parallel programmers, application users, and parallel computing researchers . The xmpi profiling tool and parallel debugger support (eg,
    LAM/MPI Parallel Computing
    Home Download Documentation FAQ ... License
    LAM/MPI: Enabling Efficient and Productive MPI Development
    LAM/MPI is a high-quality open-source implementation of the Message Passing Interface specification, including all of MPI-1.2 and much of MPI-2. Intended for production as well as research use, LAM/MPI includes a rich set of features for system administrators, parallel programmers, application users, and parallel computing researchers.
    Cluster Friendly, Grid Capable
    From its beginnings, LAM/MPI was designed to operate on heterogeneous clusters. With support for Globus and Interoperable MPI , LAM/MPI can span clusters of clusters.
    Several transport layers, including Myrinet, are supported by LAM/MPI. With TCP/IP, LAM imposes virtually no communication overhead, even at gigabit Ethernet speeds. New collective algorithms exploit hierarchical parallelism in SMP clusters.
    Empowering Developers
    The xmpi profiling tool and parallel debugger support (e.g., using TotalView or the Distributed Debugging Tool
    A Stable Extensible Platform for Research
    Tools and Third Party Applications
    Since LAM/MPI implements the specified MPI standard, most

    104. HPJava Home Page
    HPJava is an environment for scientific and parallel programming using Java. memory) parallel computers especially data parallel programming using
    HPJava Home Page

    HPJava language

    SC '02 demo
    Viewing these pages
    HPJava Home Page
    HPJava is an environment for scientific and parallel programming using Java. It is based on an extended version of the Java language. One feature that HPJava adds to Java is a multi-dimensional array, or multiarray , with properties similar to the arrays of Fortran. HPJava supports parallel programming on distributed memory (and shared memory) parallel computers especially data parallel programming using distributed arrays similar to those in High Performance Fortran (HPF). The HPJava language model was motivated by work on HPF during the PCRC project it captures the HPF distributed array model in special syntax, but assumes that the programmer directly calls high-level runtime functions for communication and array manipulation. HPJava is a strict extension of Java. It incorporates all of the Java language as a subset. Any ordinary Java class can be invoked from an HPJava program without recompilation. A translated and compiled HPJava program is a standard Java class file that can be executed by a distributed collection of Java Virtual Machines. Version 1.0 of the HPJava software, including translator and runtime environment was released April, 2003:

    But one thing is certain programming for parallel computers is here to stay.Indeed, developing a parallel programming environment is a priority for all
    by Marsha Jovanovic (Marsha Jovanovic is G/S editor. Gary Hanyzewski, Jayne Keller, Booker Bense, Carl Scarbnick, Bob Leary, and Reagan Moore also contributed to this article.) With Multiple-Instruction-Multiple-Data (MIMD) computers clearing the way for record-breaking computation speeds, scientific programmers of the 90s are being pulled into the world of parallel programming. Using large numbers of fast processors, MIMD computers break computational problems into pieces of moderate size that can be processed quickly and independently. All programmers have to do is figure out how to divide the data or the workload among the processors to take best advantage of their processing power. Does it sound complicatedperhaps a bit schizophrenic? Perhaps. But one thing is certain: programming for parallel computers is here to stay. Indeed, developing a parallel programming environment is a priority for all the NSF supercomputer centers. SDSC scientists and programmer/analysts already are working themselves through the parallel programming maze (see "The parallelization of MOPAC" in this issue for a detailed example and "Running in parallel" in G/S January-February for more about the SDSC parallel processing effort in general). This article tells you something about the programming problem and introduces you to some of the parallel programming tools available at SDSC.

    106. Distributed Parallel Computing With Web Services @ SOA WEB SERVICES JOURNAL
    At the same time, distributed parallel computing is becoming the de facto A simple control master program could generate slave/worker services executing
    Jump to a SYS-CON Magazine .NET Developer's Journal - .NETDJ ColdFusion Developer's Journal - CFDJ Eclipse Developer's Journal - EDJ Enterprise Open Source Magazine - EOS IT Solutions Guide - ITSG Java Developer's Journal - JDJ LinuxWorld Magazine - LW Macromedia MX Developer's Journal - MXDJ PowerBuilder Developer's Journal - PBDJ SEO / SEM (Search) Journal - SJ SOA Web Services Journal - WSJ Symbian Developer's Journal - SDJ WebLogic Developer's Journal - WLDJ WebSphere Journal - WJ XML-Journal - XMLJ
    Register YOUR FEEDBACK Secrets Of The Masters: Core Java Interview Questions sudhansu.swain wrote: i want to java interview question Sep. 24, 2005 05:13 PM .NETDJ Editor Jon Box Responds To Calvin Austin in His Blog James Brockman wrote: >> Yes, MSDN subscriptions are NOT free. However, the .NET framework is... Sep. 24, 2005 12:40 PM Distributed Parallel Computing with Web Services Joe Smith wrote: Agreed this article is a total waste. Wonder if the product is a waste as well. Did You Read Today's Front Page Stories at SYS-CON?

    107. PVM: Parallel Virtual Machine
    PVM enables users to exploit their existing computer hardware to solve much larger Xmdb parallel programming and debugging trainer for beginners
    PVM (Parallel Virtual Machine) is a software package that permits a heterogeneous collection of Unix and/or Windows computers hooked together by a network to be used as a single large parallel computer. Thus large computational problems can be solved more cost effectively by using the aggregate power and memory of many computers. The software is very portable. The source, which is available free thru netlib, has been compiled on everything from laptops to CRAYs. PVM enables users to exploit their existing computer hardware to solve much larger problems at minimal additional cost. Hundreds of sites around the world are using PVM to solve important scientific, industrial, and medical problems in addition to PVM's use as an educational tool to teach parallel programming. With tens of thousands of users, PVM has become the de facto standard for distributed computing world-wide. For those who need to know, PVM is Y2K compliant. PVM does not use the date anywhere in its internals.
    Current PVM News:
    • EuroPVM-MPI 2005 . The 12th European PVM-MPI Meeting will be held in Capri-Sorrento Penisular, Italy

    108. Introduction To Parallel Computing
    Motivating parallelism; Scope of parallel computing; Organization and Contentsof the Sources of Overhead in parallel Programs; Performance Metrics for
    Introduction to Parallel Computing.
    Ananth Grama, Purdue University, W. Lafayette, IN 47906 ( Anshul Gupta, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598 ( George Karypis, University of Minnesota, Minneapolis, MN 55455 ( Vipin Kumar, University of Minnesota, Minneapolis, MN 55455 ( Follow this link for a recent review of the book published at IEEE Distributed Systems Online.
    Solutions to Selected Problems
    The solutions are password protected and are only available to lecturers at academic institutions. Click here to apply for a password. Click here to download the solutions (PDF File).
    Table of Contents ( PDF file
    1. Introduction (figures: [ PDF PS
    • Motivating Parallelism
    • Scope of Parallel Computing
    • Organization and Contents of the Text
    2. Parallel Programming Platforms (figures: [ PPT PDF PS
    (GK lecture slides [ PDF ]) (AG lecture slides [ PPT PDF PS
    • Implicit Parallelism: Trends in Microprocessor Architectures
    • Limitations of Memory System Performance
    • Dichotomy of Parallel Computing Platforms
    • Physical Organization of Parallel Platforms
    • Communication Costs in Parallel Machines
    • Routing Mechanisms for Interconnection Networks
    • Impact of Process-Processor Mapping and Mapping Techniques
    • Bibliographic Remarks
    3. Principles of Parallel Algorithm Design (figures: [

    109. Recent Papers By Larry Carter
    B., L. Carter, and J. Ferrante, ``Modeling parallel Computers as MemoryHierarchies, programming Models for Massively parallel Computers , Giloi, WK,
    Recent paper by Larry Carter
    • S. Nandy, L. Carter, and J. Ferrante, "Guard: Gossip Used for Autonomous Resource Detection" , IEEE International Parallel and Distributed Processing Symposium (IPDPS'05).
    • S. Nandy, L. Carter, and J. Ferrante, "A-FAST: Autonomous Flow Approach to Scheduling Tasks" , International Conference in High-Performance Computing (HiPC'04), published in Springer LNCS 3296, pp 363-374 (2004).
    • C. Banino, O. Beaumont, L. Carter, J. Ferrante, A. Legrand, and Y. Robert, "Scheduling Strategies for Master-Slave Tasking on Heterogeneous Processor Platforms", IEEE Transactions on Parallel and Distributed Systems, Volume 15, Number 4, pages 319-330. (April, 2004)
    • B. Kreaseck, L. Carter, H. Casanova, and J. Ferrante, "On the Interference of Communication on Computation in Java" , Third International Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems (PMEO'04).
    • M. Mills Strout, L. Carter, J. Ferrante, and B. Kreaseck, "Sparse Tiling for Stationary Iterative Methods", International Journal of High-Performance Computing Applications, Volume 18, Number 1, pages 95-113. (2004)
    • M. Mills Strout, L. Carter, and J. Ferrante

    110. 520.428 Introduction To Algorithms For Parallel Computers
    programming projects will be given for the IBM SP parallel computer and otheravailable departmental multicomputers. Prerequisite 520.428 or equivalent and
    Principles of Parallel Programming
    Department: Dept. of Electrical and Computer Engineering
    Meeting Times:
    Tuesday, Wednesday 4-5:15, Barton 225
    Instructor: Dr. Louis J. Podrazik, e-mail:
    Office Hours: by appointment
    Synopsis: Programming models and languages for current computing platforms. Computational models include shared and distributed memory multiprocessors. Essential techniques of message-passing parallel programming will be based upon MPI (Message Passing Interface); shared memory programming will use the OpenMP standard. Other parallel language extensions will be studied, including Split-C and UPC (unified parallel C). Programming projects will be given for the IBM SP parallel computer and other available departmental multicomputers.
    Prerequisite : 520.428 or equivalent and a course in C programming. Curriculum: Course Grading Homework Assignments Course Projects
    • Week 1. Overview of parallel computation and programming Week 2. JHU computing platforms Week 3.

    111. PARA'02 Conference Home Page
    advanced program development, and tools in parallel computing. Registrationfor the PARA 02 Conference on Applied parallel computing on June 1518,
    Main Sponsor: Sponsors:
    Conference on Applied Parallel Computing
    3rd CSC Scientific Meeting 15 - 18 June 2002, Dipoli Congress Centre, Espoo, Finland
    The PARA'02 conference is over. These pages are provided for historical and reference purposes. The conference presentations are now available in video recordings here . To view the video files you will need a suitable media player in your browser: MPEG-1 player or Real-player Also the conference proceedings are now available online (click the icon). They are published in the Springer series Lecture notes in Computer Science. J. Fagerholm, J. Haataja, J. Järvinen, M. Lyly, P. Råback, V. Savolainen (Eds.):
    Applied Parallel Computing
    Advanced Scientific Computing
    6th International Conference, PARA 2002, Espoo, Finland, June 15-18, 2002. Proceedings
    LNCS 2367 CSC - Scientific Computing Ltd. will host the sixth International Conference on Applied Parallel Computing on June 15-18, 2002. The general theme of the conference is advanced scientific computing. The conference demonstrates the ability of advanced scientific computing to solve "real-world" problems, and highlights methods, instruments, and trends in future scientific computing. The conference begins with a one-day tutorial session on grid programming.

    112. Caltech Computer Science Technical Reports - Programming Parallel Computers
    Chandy, K. Mani (1988) programming parallel Computers. Technical Report.California Institute of Technology. CaltechCSTR1988.cstr-88-16
    Caltech Computer Science Technical Reports Main About Browse Search ... Help
    Programming Parallel Computers
    Chandy, K. Mani Programming Parallel Computers. Technical Report California Institute of Technology CaltechCSTR:1988.cs-tr-88-16 Full text available as: Postscript - Requires a viewer, such as GhostView
    This paper is from a keynote address to the IEEE International Conference on Computer Languages, October 9, 1988. Keynote addresses are expected to be provocative (and perhaps even entertaining), but not necessarily scholarly. The reader should be warned that this talk was prepared with these expectations in mind.Parallel computers offer the potential of great speed at low cost. The promise of parallelism is limited by the ability to program parallel machines effectively. This paper explores the opportunities and the problems of parallel computing. Technological and economic trends are studied with a view towards determining where the field of parallel computing is going. An approach to parallel programming, called UNITY, is described. UNITY was developed by Jay Misra and myself, and is described in [Chandy]. Extensions to UNITY are discussed; these extensions were motivated by discussions with Chuck Seitz EPrint Type: Monograph (Technical Report) Subjects: All Records ID Code: Deposited By: Caltech Library System Deposited On: 24 April 2001 Record Number: CaltechCSTR:1988.cs-tr-88-16

    113. Parallel Algorithms And Programs
    We focus on transformation of parallel algorithms and programs on the PRAM to Shared Memory in programming Models For Massively parallel Computers, pp.
    Parallel Algorithms and Programs
    Today, there is a great variety on parallel algorithms for shared-memory architectures, mainly the PRAM. However, the PRAM model does not take into account properties of realistic architectures. Recently, Culler et al. defined a new more realistic machine model which reflects better the practical behaviour of massively parallel computers. Their LogP model differs from the PRAM in the following points. First, the synchronous execution is dropped. Instead all processors perform their computation asynchronously. Second, there is no shared memory assumption. Instead they consider a communication latency, communication overhead and network bandwith. Finally, the number of processors is fixed and cannot increase with the problem size. We focus on transformation of parallel algorithms and programs on the PRAM to equivalent LogP-programs.
    Recent research of mine:

    114. Parallel Computing, Volume 22
    Bruno Lang parallel Reduction of Banded Matrices to Bidiagonal Form. ClemensAugust Thole, Owen Thomas Industrial parallel computing with Real Codes.
    Parallel Computing , Volume 22
    Volume 22, Number 1, January 1996
    Short Communications Practical Aspects and Experiences
    Volume 22, Number 2, February 1996

    115. Programming Of Parallel Computers
    programming of parallel Computers HPB Distance course 2004.( http// ). Teacher Jarmo Rantakokko
    Department of Information Technology
    Jarmo Rantakokko

    Programming of parallel computers HPB

    Literature ...
    Uppsala University
    Department of Information Technology
    Scientific Computing Programming of Parallel Computers
    Programming of Parallel Computers HPB
    Distance course 2004
    ( )
    Jarmo Rantakokko
    Room 2339, Tel: 018 - 471 2977 Aims of the course Computer simulations are used extensively both in industry and in academia. The demand for computing power is increasing faster and faster. To meet the demands parallel computers are becoming popular. Today, a powerful PC often contains two processors and it is easy to connect several PCs to a cluster, a powerful parallel computer. At the same time it is more difficult for the programmer to exploit the full capacity of the computer. The aims of the course are to give basic knowledge in parallel computers, algorithms and programming. To give knowledge in fundamental numerical algorithms and software for different parallel computers. To give skills in parallel programming. Course content Classification of parallel computers. Different forms of memory organisation and program control. Different forms of parallelism. Programming models; programming in a local name space using MPI and in global name space using OpenMP. Data partitioning and load balancing algorithms. Measurements of performance; speedup, efficiency, flops. Parallelization of fundamental algorithms in numerical linear algebra; matrix-vector and matrix-matrix multiplication. Parallel sorting and searching. Software for parallel computers. GRID computing.

    116. Alibris: Computers Programming Parallel
    Used, new outof-print books with subject Computers programming parallel.Offering over 50 million titles from thousands of booksellers worldwide. Programming Parallel
    You'll find it at Alibris! Log in here
    Over 50 million used, new and out-of-print books! CART ACCOUNT WISHLIST HELP ... SEARCH search in
    Books Music: All CD Vinyl Movies: All DVD VHS
    by title / ISBN
    by author / artist
    by subject / genre
    my email address
    unsubscribe here

    your shopping cart

    order status

    wish list
    ... help browse BOOKS Your search: Books Subject: Computers Programming Parallel (80 matching titles) Narrow your results by: Eligible for FREE shipping Narrow results by title Narrow results by author Narrow results by subject Narrow results by keyword Narrow results by publisher or refine further Sometimes it pays off to expand your search to view all available copies of books matching your search terms. Page of 4 sort results by Top-Selling Used Price New Price Title Author Introduction to Parallel Computing more books like this by Grama, Ananth, and Gupta, Anshul, and Karypis, George This book provides a basic, in-depth look at techniques for the design and analysis of parallel algorithms and for programming them on commercially available parallel platforms. Principles of parallel algorithms design and different parallel programming models are both discussed, with extensive coverage of MPI, POSIX threads, and Open MP. This... see all copies from new only from SVS Oracle Parallel Processing more books like this by Mahapatra, Tushar, and Mishra, Sanjay

    117. Coarse-Grain Dataflow Programming Of Conventional Parallel
    Granular Lucid or GLU is a coarse grain dataflow language for programmingconventional parallel computers. It is based on Lucid circa which is an implicitly

    118. ESPRIT Project ParForce (EP 6707)
    ParForCE (EP 6707). parallel Formal computing Environment Finally, the projectalso includes a working group on parallel program development.
    The CLIP Group DIA FIM UPM
    ParForCE (EP 6707)
    Parallel Formal Computing Environment
    The ParForCE Project Technology Transfer Workshop
    Madrid, Spain, January 15-16 1996
    Project Information
    This brief information corresponds to the project synopsis. Detailed descriptions of the research are found in the deliverables of the first year , the deliverables of the second year and the deliverables of the third year . You can also read a project description and report on achievements , which appeared in the EATCS bulletin in 1995 (an older version which appeared in the EATCS bulletin in 1994 can be found here Work area : Parallel Computing and Architectures COORDINATOR PARTNERS CONTACT POINT

    119. Practicum Structured Programming - Modula2
    Exercises, tips, syntax reference, programs written in Modula2. Free Universityof Brussels.
    Practicum Structured Programming

    This is the homepage of the exercises part of J. Tiberghien 's course " Programming Concepts ". Information about the theory can be found on the Info Department website.
    Jan Lemeire: 4k227 tel: (02/629) 2997
    Arnout Swinnen 4k226 tel: (02/629) 2493 Johan Parent
    1e bachelor burgerlijk ingenieur Oefeningen Project en Practicum Examen
    1e bachelor burgerlijk ingenieur-architekt Oefeningen en Practicum Examen
    GAS students exercises
    Demo's Check our students projects page!! Consult freely our Documentation Technology pages Compiler Modula2 compiler installation for Windows (XDS 2.32): Download XDS 2.51 from Excelsior website +Topspeed TSCP add-on zie technology pagina or good old XDS 2.32 READ THIS BEFORE INSTALLATION:
    • Install folder
        don't install XDS under "Program Files" or another folder with a space in its name!!! (create for example a folder /XDS) never use a folder with a space in its name! XDS doesn't understand this and gets mixed up.
      Update your version of XDS:
        just reinstall the new XDS in the same folder and overwrite the old folder also reinstall the topspeed package!

    120. Parallel
    A generation in a run of parallel genetic programming may be of any length, Building a parallel computer system for $18000 that performs a half
    Asynchronous "Island" Approach to Parallelization of Genetic Programming
    Techniques of "blank slate" automated learning generally require considerable computational resources to solve non-trivial problems of interest. As they say, "computer time is the mother's milk of automated learning." Increases in computing power can be realized in two ways: either by using a faster computer or by parallelizing the application. The first approach is aided by the fact that computer speeds have approximately doubled every 18 months in accordance with Moore’s law and are expected to continue to do so. The second approach (i.e., parallelization) is available for applications that can be parallelized efficiently. Genetic algorithms, genetic programming, and other techniques of evolutionary computation are highly amenable to parallelization (at essentially 100% efficiency). A run of genetic programming begins with the initial creation of individuals for the population. Then, on each generation of the run, the fitness of each individual in the population is evaluated. Then, on each generation, individuals are selected (probabilistically based on fitness) to participate in the genetic operations (e.g., reproduction, crossover, mutation, and architecture-altering operations). These three steps (i.e., fitness evaluation, Darwinian selection, and genetic operations) are iteratively performed over many generations until the termination criterion for the run is satisfied. Typically, the best single individual obtained during the run is designated as the result of the run.

    A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

    Page 6     101-120 of 121    Back | 1  | 2  | 3  | 4  | 5  | 6  | 7  | Next 20

    free hit counter