Class: CSE 130 Subject: computer-science computer-systems Date: 2025-04-16 Teacher: **Dr. Veenstra

Fundamental Abstractions in Computer Systems

Tasks that a System Does

  1. Store(essentially remember things)
    • i.e. **Memory
  2. Compute things(Interpret)
    • i.e. **Interpreter
  3. Communicate things
    • i.e. **Communication channels

Memory

  • relies upon name abstractions

What are some memories

  1. Registers
  2. Cahces(L1, L2, L3)
  3. DRAM
  4. SSD’s
  5. HDD’s
  6. Tape Storage

Memory Properties

Volatility

  • Does the memory need power to be applied in order to remember?
  • The volatility/non-volatility split happens between DRAM and SSD’s

  • essentially the ones above the line require some sort of voltage/power source to sustain memory

Abundance

  • how much of the memory should we expect in a typical system?
  • less abundance as we move up in the hierarchy

Cost

  • how expensive($/byte) is it?
  • more expensive as we move up in the hierarchy

Performance

  • bandwidth: how many units of memory can we get per unit of time?
  • higher performance at the top; lower performance at the bottom

Two Measures

  • bandwidth
    • i.e. megabits per second
  • latency: how long does it take to get a single value from memory?
    • i.e. nanoseconds
Latency
  • Lamport “Space-Time Diagrams”

which is better; low read latency or low write latency? answer: low read latency because we can make writes asynchronous!

Granularity

  • what are the sizes of the values?
    • **registers(name/value map)
    • **bytes(Cache/RAM)
    • **block-Addressable(SSD/HDD)

Flash Memory

  • Memory-cell tech makes writing complicated
    • writing a 1(called “erasing”) must happen on an entire bank
    • writing a 0(called “programming”) can happen on an individual bit
  • NOR Flash memory reads words
  • NAND Flash memory *reads pages

Failure Rate

Block Devices

  • these fail frequently

DRAM

  • fails less frequently

RAM

  • rarely fail
  • most systems ignore the failures since fixing them would be expensive!