MikeTrendsTrends right now

search

computer architecture

Trends

  1. 1
    What if we stopped using GPUs?●What if we stopped using GPUs? [video]YhnBusinessEconomy511 h ago

    A discussion piece is asking what computing would look like if the industry moved away from graphics processing units, the chips that currently power most AI and high-performance workloads. It is drawing attention among developers and hardware enthusiasts debating whether alternatives like CPUs, ASICs or other architectures could realistically take on the workload GPUs dominate today.

  2. 2

    New work on decision models is being highlighted as a way to make AI agents faster and more reliable at routing tasks. The approach reportedly cuts the computing overhead involved when agents must choose between actions or paths, improving response times. Discussion is focused on what this means for deploying AI agents in production systems and whether such models could become a standard component in agent architectures.

  3. 3
    CU Boulder opens four tenure-track computer science faculty positions●U Colorado Boulder Computer Science is hiring for four (4) tenure-track faculty positions in: - # Quantum Computing - #MmastodonSciencePhysics515 h ago

    The University of Colorado Boulder's Computer Science department is recruiting for four tenure-track faculty positions: one in quantum computing, two in artificial intelligence, and one in computer architecture and systems. Applications and details are available on the department's jobs page, and academics are being asked to circulate the openings to potential candidates in their networks.

  4. 4
    Classic article on processor cache effects resurfaces●Gallery of Processor Cache Effects https://igoro.com/archive/gallery-of-processor-cache-effects/ # HackerNews # Tech # CMmastodonTechnology317 h ago

    Igor Ostrovsky's article 'Gallery of Processor Cache Effects' is circulating again among developers and hardware enthusiasts. The piece uses small C# experiments to demonstrate how CPU cache lines, cache levels and memory access patterns dramatically affect program performance. It remains a popular reference for anyone learning computer architecture or trying to write faster low-level code.