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Showing 1 to 4 of 4 for “"hardware capability"”.

  1. Fine and coarse-grained parallelisation techniques for complex systems

    Over the last decade or so, increases in hardware capability have not directly translated into increases in software performance. The emergence of multi-core and many-core architecture has caused difficulty for users who, without proficiency in software development, then turn to frameworks and …

    abertay Repository record for Fine and coarse-grained parallelisation techniques for complex systems (opens in a new tab)

  2. Efficient Deep Learning Computing: From TinyML to LargeLM

    … the gigantic model sizes of LLMs also exceed the hardware capability even for the most advanced GPUs. We developed post-training quantization schemes for different serving workloads to reduce redundant bits of weights and activations, enabling W8A8 quantization (SmoothQuant) for compute-bound …

    mit Repository record for Efficient Deep Learning Computing: From TinyML to LargeLM (opens in a new tab)

  3. CHERI Compartmentalisation for Embedded Systems

    … proposes CompartOS as a new lightweight hardware-software compartmentalisation model building on CHERI (a hardware capability architecture) to secure mainstream and complex embedded software systems. CompartOS is an automatic, linkage-based compartmentalisation model that isolates …

    cambridge Repository record for CHERI Compartmentalisation for Embedded Systems (opens in a new tab)

  4. High-performance memory safety - Optimizing the CHERI capability machine

    This work presents optimizations for modern capability machines and specifically for the CHERI architecture, a 64-bit MIPS instruction set extension for security, supporting fine-grained memory protection through hardware-enforced capabilities. The original CHERI model uses 256-bit capabilities to …

    cambridge Repository record for High-performance memory safety - Optimizing the CHERI capability machine (opens in a new tab)