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 ...
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 ...
Abstract: In this study, we propose LWMalloc, a lightweight dynamic memory allocator designed for resource-constrained environments. LWMalloc incorporates a lightweight data structure, a deferred ...
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Cloud computing has motivated renewed interest in resource allocation problems with new consumption models. A common goal is to share a resource, such as CPU or I/O bandwidth, among distinct users ...
Dynamic mechanisms of engram maturation. During the allocation, engram allocation is primarily governed by enhancements in intrinsic neuronal excitability, driven primarily by increased ...
The demonstration highlights a major advancement in memory flexibility, showcasing how CXL switching can enable seamless, on-demand memory pooling and expansion across heterogeneous systems. The ...
In the world of programming languages it often feels like being stuck in a Groundhog Day-esque loop through purgatory, as effectively the same problems are being solved over and over, with previous ...
Memory errors such as out-of-bounds reads and writes and use-after-free bugs have plagued applications for decades, causing problems ranging from minor execution glitches to global security nightmares ...
Researchers from the Graz University of Technology have discovered a way to convert a limited heap vulnerability in the Linux kernel into a malicious memory writes capability to demonstrate novel ...
Efficient use of GPU memory is essential for high throughput LLM inference. Prior systems reserved memory for the KV-cache ahead-of-time, resulting in wasted capacity due to internal fragmentation.
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