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Divide and conquer frontend bottleneck
The frontend stalls caused by instruction and BTB misses are a significant source of
performance degradation in server processors. Prefetchers are commonly employed to …
performance degradation in server processors. Prefetchers are commonly employed to …
Q-zilla: A scheduling framework and core microarchitecture for tail-tolerant microservices
A Mirhosseini, BL West, GW Blake… - … Symposium on High …, 2020 - ieeexplore.ieee.org
Managing tail latency is a primary challenge in designing large-scale Internet services.
Queuing is a major contributor to end-to-end tail latency, wherein nominal tasks are …
Queuing is a major contributor to end-to-end tail latency, wherein nominal tasks are …
Resemble: reinforced ensemble framework for data prefetching
Data prefetching hides memory latency by predicting and loading necessary data into cache
beforehand. Most prefetchers in the literature are efficient for specific memory address …
beforehand. Most prefetchers in the literature are efficient for specific memory address …
[PDF][PDF] Multi-lookahead offset prefetching
M Shakerinava… - The Third Data …, 2019 - dpc3.compas.cs.stonybrook.edu
Offset prefetching has been recently proposed as a lowoverhead yet high-performance
approach to eliminate data cache misses or reduce their negative effect. In offset …
approach to eliminate data cache misses or reduce their negative effect. In offset …
Bow: Breathing operand windows to exploit bypassing in gpus
The Register File (RF) is a critical structure in Graphics Processing Units (GPUs) responsible
for a large portion of the area and power. To simplify the architecture of the RF, it is …
for a large portion of the area and power. To simplify the architecture of the RF, it is …
[HTML][HTML] LSTM-CRP: Algorithm-Hardware Co-Design and Implementation of Cache Replacement Policy Using Long Short-Term Memory
Y Wang, Y Meng, J Wang, C Yang - Big Data and Cognitive Computing, 2024 - mdpi.com
As deep learning has produced dramatic breakthroughs in many areas, it has motivated
emerging studies on the combination between neural networks and cache replacement …
emerging studies on the combination between neural networks and cache replacement …
A survey on recent hardware data prefetching approaches with an emphasis on servers
Data prefetching, ie, the act of predicting application's future memory accesses and fetching
those that are not in the on-chip caches, is a well-known and widely-used approach to hide …
those that are not in the on-chip caches, is a well-known and widely-used approach to hide …