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omersha.github.io | ||
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venam.net
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| | | | | Computer architecture can be considered a boring topic, one that is studied during CS education, then put aside, and leaves place to the shiny new toys that capture the attention. I've recently revisited it, and I'd like to summarize some takeaways. | |
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raphlinus.github.io
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| | | | | The GPU in your computer is about 10 to 100 times more powerful than the CPU, depending on workload. For real-time graphics rendering and machine learning, you are enjoying that power, and doing those workloads on a CPU is not viable. Why aren't we exploiting that power for other workloads? What prevents a GPU from being a more general purpose computer? | |
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www.snell-pym.org.uk
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| | | | | [AI summary] The article discusses various exotic processor architectures, focusing on zero-operand stack machines, multiple stacks, result registers, virtual stacks, and transport-triggered architectures, highlighting their potential to simplify control logic and improve performance. | |
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www.jmeiners.com
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| | | [AI summary] The provided text outlines the development of an LC-3 virtual machine (VM) in C, including the implementation of various instructions, memory operations, and input/output handling. It also discusses an advanced C++ approach using templates and bitwise flags to reduce code duplication and improve efficiency. The text covers topics like instruction decoding, memory addressing, flag handling, and platform-specific input buffering. Additionally, it references contributions from the community and mentions GitHub tags for organizing implementations in different languages. | ||
