Neumann bottleneck

19 examples (0.02 sec)
  • In recent history, the Von Neumann bottleneck has become more apparent.
  • This is referred to as the Von Neumann bottleneck and often limits the performance of the system.
  • Aside from the Von Neumann bottleneck described below, program modifications can be quite harmful, either by accident or design.
  • Surely there must be a less primitive way of making big changes in the store than by pushing vast numbers of words back and forth through the von Neumann bottleneck.
  • The resultant demand that instructions and data be placed on the same memory later came to be known as the Von Neumann Bottleneck.
  • Other computing architectures go much further, attempting to bypass the von Neumann bottleneck using a variety of alternatives to the program counter.
  • One way to work around the Von Neumann bottleneck is to mix a processor and DRAM all on one chip.
  • Since data must be moved between the CPU and memory along a bus which has a limited data transfer rate, there exists a condition that is known the Von Neumann bottleneck.
  • Thus programming is basically planning and detailing the enormous traffic of words through the von Neumann bottleneck, and much of that traffic concerns not significant data itself, but where to find it.
  • Some embarrassingly parallel computational problems are already limited by the von Neumann bottleneck between the CPU and the DRAM.
  • Purely functional languages can provide an opportunity for computation to be performed in parallel, avoiding the von Neumann bottleneck of sequential one step at time execution, since values are independent of each other.
  • The proposed architecture provides a solution to the "von Neumann bottleneck" by merging processor and memory, and future hardware based on the technology may reduce the power consumption of machine learning applications.
  • The shared bus between the program memory and data memory leads to the Von Neumann bottleneck, the limited throughput (data transfer rate) between the CPU and memory compared to the amount of memory.
  • Third, for certain applications, traditional serial architectures are becoming less efficient as processors get faster (due to the so-called Von Neumann bottleneck), further undercutting any gains that frequency increases might otherwise buy.
  • In Von Neumann machines the data and programs are mixed in a single memory device, requiring sequential accessing which produces the so-called "Von Neumann bottleneck."
  • Like the J-Machine project at MIT, the primary objective of the research was to avoid the Von Neumann bottleneck which occurs when the connection between memory and CPU is a relatively narrow memory bus between separate integrated circuits.
  • In terms of the actual technology that makes up a computer, the Von Neumann Bottleneck predicts that it is easier to make the CPU perform calculations faster than it is to supply it with data at the necessary rate for this to be possible.
  • This paradox is due to a paradigm shift, and is also partly explained by the Von Neumann syndrome (Von Neumann bottleneck).
  • This Local Memory was fed data by a dedicated foreground processor which was in turn attached to the main memory through a Gbit/s channel per CPU; X-MPs by contrast had 3, for 2 simultaneous loads and a store and Y-MP/C-90s had 5 channels to avoid the von Neumann bottleneck.

How Neumann bottleneck gets used