The memory-bounded speedup model and its impacts in computing
With the surge of big data applications and the worsening of the memory-wall problem, the
memory system, instead of the computing unit, becomes the commonly recognized major …
memory system, instead of the computing unit, becomes the commonly recognized major …
CHROME: Concurrency-aware holistic cache management framework with online reinforcement learning
Cache management is a critical aspect of computer architecture, encompassing techniques
such as cache replacement, bypassing, and prefetching. Existing research has often …
such as cache replacement, bypassing, and prefetching. Existing research has often …
CARE: A concurrency-aware enhanced lightweight cache management framework
Improving cache performance is a lasting research topic. While utilizing data locality to
enhance cache performance becomes more and more difficult, data access concurrency …
enhance cache performance becomes more and more difficult, data access concurrency …
ACES: Accelerating Sparse Matrix Multiplication with Adaptive Execution Flow and Concurrency-Aware Cache Optimizations
Sparse matrix-matrix multiplication (SpMM) is a critical computational kernel in numerous
scientific and machine learning applications. SpMM involves massive irregular memory …
scientific and machine learning applications. SpMM involves massive irregular memory …
Utilizing Concurrent Data Accesses for Data-Driven and AI Applications
X Lu - 2024 - search.proquest.com
In the evolving landscape of data-driven and AI applications, the imperative for reducing
data access delay has never been more critical, especially as these applications …
data access delay has never been more critical, especially as these applications …