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Overview of Computational
Science
The Computer Revolution
In recent years, information technology has changed the way we:
• communicate with each other
• learn new facts
• Listen to music
• make travel plans
• shop and make purchases
• bank and pay bills
• prepare and give presentations
Computers support all of these activities by storing, retrieving,
processing, and interchanging information in digital form.
The Scientific Revolution
The much older scientific revolution has greatly increased our
understanding of:
• the universe
• the Earth
• matter
• life
• disease
• the mind
• Society
Science supports such advances by collecting data systematically,
stating clear theories/models, and relating them to each other.
Computer Science Themes
since computation encompasses many different types of activities, computer
science research is often difficult to classify
 three recurring themes define the discipline
Hardware
hardware refers to the physical components of a computer and its supporting devices
most modern computers implement the von Neumann architecture
 CPU + memory + input/output devices
ongoing research seeks to improve hardware design and organization
 circuit designers create smaller, faster, more energy-efficient chips
 microchip manufacturers seek to miniaturize and streamline production
 systems architects research methods to increase throughput (the amount of work done in a given time
period)
 e.g., parallel processing – splitting the computation across multiple CPUs
 e.g., networking – connecting computers to share information and work
Operating Systems and Networks
subfield concerned with mechanisms to control the hardware and software
components of computer systems
application: operating systems mediate between hardware and software
 time-sharing - allowed for multiple users to work on the same computer
 each user is allocated a portion of the processor, and the processor rotates
among tasks so rapidly that it appears to be executing tasks simultaneously
 multitasking – a single user can run multiple programs simultaneously
 each application is allocated a portion of the memory
application: networks allow computers to communicate and share resources
 wide area network (WAN) – connects
computers over long distances (e.g., Internet)
 local area network (LAN) – connects
computers over short distances (e.g., same
room or building)
 Ethernet is a common, simple
technology for building LANs
Summary
Computational science, developed along appropriate lines, will:
• change the ways that we carry out scientific research;
• increase the rate of scientific and technological progress;
• improve education in the sciences and other disciplines.
However, making this enterprise successful will require:
• a broad and inclusive vision for computational science;
• a strong commitment to interdisciplinary research;
• an institution willing to play a leadership role.
Dartmouth can help transform this vision of into reality and aid computational science to
develop its full potential.

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prelim topic.pptx

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. The Computer Revolution In recent years, information technology has changed the way we: • communicate with each other • learn new facts • Listen to music • make travel plans • shop and make purchases • bank and pay bills • prepare and give presentations Computers support all of these activities by storing, retrieving, processing, and interchanging information in digital form.
  • 11. The Scientific Revolution The much older scientific revolution has greatly increased our understanding of: • the universe • the Earth • matter • life • disease • the mind • Society Science supports such advances by collecting data systematically, stating clear theories/models, and relating them to each other.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Computer Science Themes since computation encompasses many different types of activities, computer science research is often difficult to classify  three recurring themes define the discipline
  • 18. Hardware hardware refers to the physical components of a computer and its supporting devices most modern computers implement the von Neumann architecture  CPU + memory + input/output devices ongoing research seeks to improve hardware design and organization  circuit designers create smaller, faster, more energy-efficient chips  microchip manufacturers seek to miniaturize and streamline production  systems architects research methods to increase throughput (the amount of work done in a given time period)  e.g., parallel processing – splitting the computation across multiple CPUs  e.g., networking – connecting computers to share information and work
  • 19. Operating Systems and Networks subfield concerned with mechanisms to control the hardware and software components of computer systems application: operating systems mediate between hardware and software  time-sharing - allowed for multiple users to work on the same computer  each user is allocated a portion of the processor, and the processor rotates among tasks so rapidly that it appears to be executing tasks simultaneously  multitasking – a single user can run multiple programs simultaneously  each application is allocated a portion of the memory application: networks allow computers to communicate and share resources  wide area network (WAN) – connects computers over long distances (e.g., Internet)  local area network (LAN) – connects computers over short distances (e.g., same room or building)  Ethernet is a common, simple technology for building LANs
  • 20. Summary Computational science, developed along appropriate lines, will: • change the ways that we carry out scientific research; • increase the rate of scientific and technological progress; • improve education in the sciences and other disciplines. However, making this enterprise successful will require: • a broad and inclusive vision for computational science; • a strong commitment to interdisciplinary research; • an institution willing to play a leadership role. Dartmouth can help transform this vision of into reality and aid computational science to develop its full potential.