Hardware

Hardware

Database Techniques for New Hardware, the Law and other Social Sciences

In the last decade, computer hardware progresses with leaps and bounds. The advancements of hardware include: widely application of multi-core CPUs, using of GPUs in data intensive tasks, bigger and bigger main memory capacity, maturity and production use of non-volatile memory etc. Database systems immediately benefit from faster CPU/GPU and bigger memory, and run faster. However, there are some pitfalls. For example, database systems running on multi-core processors may suffer from cache conflicts when the number of concurrently executing DB processes increases. To fully exploit advantages of new hardware to improve the performance of database systems, database software should be more or less revised. this topic introduces some efforts of database research community in this aspect.[1]

Decimal Hardware Multiplier, the Law and other Social Sciences

IEEE-754 2008 has extended the standard with decimal floating point arithmetic. Human-centric applications, like financial and commercial, depend on decimal arithmetic since the results must match exactly those obtained by human calculations without being subject to errors caused by decimal to binary conversions. Decimal Multiplication is a fundamental operation utilized in many algorithms and it is referred in the standard IEEE-754 2008. Decimal multiplication has an inherent difficulty associated with the representation of decimal numbers using a binary number system. Both bit and digit carries, as well as invalid results, must be considered in decimal multiplication in order to produce the correct result. this subject focuses on algorithms for hardware implementation of decimal multiplication. Both decimal fixed-point and floating-point multiplication are described, including iterative and parallel solutions.[1]

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See Also

  • Computer Fraud
  • Computer
  • Electronic Surveillance
  • Electronic Commerce

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Notes and References

  1. Mário Vestias, “Decimal Hardware Multiplier” (Encyclopedia of Information Science and Technology, 4th Edition, Information Resources Management Association, 2018)

Resources

Notes and References

  1. xiongpai qin, Yueguo Chen, “Database Techniques for new Hardware” (Encyclopedia of Information Science and Technology, 4th Edition, Information Resources Management Association, 2018)

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