Online Reinforcement Learning (RL) has been adopted as an effective mechanism in
various decision-making problems in microarchitecture. Its high adaptability and the ability to …

Language models as a service (LMaaS) enable users to accomplish tasks without requiring
specialized knowledge, simply by paying a service provider. However, numerous providers …

To alleviate the performance and energy overheads of contemporary applications with large
data footprints, we propose the Two Level Perceptron (TLP) predictor, a neural mechanism …

Virtual memory is a cornerstone of modern computing systems. Introduced as one of the
earliest instances of hardware-software co-design, VM facilitates programmer-transparent …

Indirect memory accesses (IMAs, ie, A [f (B [i])]) are typical memory access patterns in
applications such as graph analysis, machine learning, and database. IMAs are composed …

Microarchitecture research relies on performance models with various degrees of accuracy
and speed. In the past few years, one such model, ChampSim, has started to gain significant …

Modern computers heavily rely on caches as one of the means to achieve higher
performance. As a result, cache management has been the topic of extensive research …

当今的处理器性能与存储器带宽和延迟严重失衡的问题限制了计算系统的整体性能,
而存储器的性能对制程工艺不敏感, 在后摩尔时代下很难再通过集成电路制造工艺的迭代获得 …

Hardware prefetching is one of the most widely-used techniques for hiding long data access
latency. To address the challenges faced by hardware prefetching, architects have proposed …

In recent years, the demand for more computing power has exponentially grown, leading to
new processor architectures being developed to meet these demands. Among these, tiled …