Abstract: Sketch is widely used in many traffic estimation tasks due to its good balance among accuracy, speed, and memory usage. In scenarios with priority flows, priority-aware sketch, as an ...

This year, there won't be enough memory to meet worldwide demand because powerful AI chips made by the likes of Nvidia, AMD and Google need so much of it. Prices for computer memory, or RAM, are ...

The investment seeks long-term total return. The adviser employs a dynamic investment strategy seeking to achieve, over time, a total return in excess of the broad U.S. equity market by selecting ...

Fund is first to offer a GMO Asset Allocation strategy in ETF vehicle BOSTON--(BUSINESS WIRE)-- GMO, a global investment manager known for its long-term, valuation-oriented strategies, today announced ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

Abstract: Dynamic multi-objective optimization problems (DMOPs) are widely applied in scheduling, resource allocation, and complex task assignments, requiring algorithms to respond quickly to ...

Run default examples/kv_cache_reuse/local_backends/offload.py: os.environ["LMCACHE_MAX_LOCAL_CPU_SIZE"] = "5" program tried to allocate 5GB pinned memory and failed ...

Effective memory management is crucial for stable and accurate binary emulation. Qiling provides a comprehensive set of tools for interacting with and manipulating the memory of the emulated process.

As the demand for reasoning-heavy tasks grows, large language models (LLMs) are increasingly expected to generate longer sequences or parallel chains of reasoning. However, inference-time performance ...

Dynamic mechanisms of engram maturation. During the allocation, engram allocation is primarily governed by enhancements in intrinsic neuronal excitability, driven primarily by increased ...