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 ...
In case you've been living under a rock, memory prices have been rising at an astounding rate recently, thanks to an ongoing supply shortage, which is largely attributed to AI server demand swallowing ...
A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...
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 ...
The article introduces a dynamic ETF allocation model using the CAPE-MA35 ratio—the Shiller CAPE divided by its 35-year moving average—to identify market phases and adjust portfolio exposure. The ...
FIFA, soccer’s global governing body, announced Thursday tickets for next year’s World Cup (co-hosted with Mexico and Canada) will be sold using dynamic pricing. The controversial method, with prices ...
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 ...
A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
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 ...
COLUMBIA — A Boone County educator has filed a lawsuit alongside a Jackson County teacher against the state over a $50 million appropriation in the 2025-26 state budget to support Missouri's private ...
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 ...
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