Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Past research has proposed numerous hardware prefetching techniques, most of which rely
on exploiting one specific type of program context information (eg, program counter …

Pointer chasing is a fundamental operation, used by many important data-intensive
applications (eg, databases, key-value stores, graph processing workloads) to traverse …

The effectiveness of deep neural networks (DNN) in vision, speech, and language
processing has prompted a tremendous demand for energy-efficient high-performance DNN …

The energy consumption of DRAM is a critical concern in modern computing systems.
Improvements in manufacturing process technology have allowed DRAM vendors to lower …

Time series analysis is a key technique for extracting and predicting events in domains as
diverse as epidemiology, genomics, neuroscience, environmental sciences, economics, and …

High performance processors employ hardware data prefetching to reduce the negative
performance impact of large main memory latencies. While prefetching improves …

The memory system is a fundamental performance and energy bottleneck in almost all
computing systems. Recent system design, application, and technology trends that require …

DRAM latency continues to be a critical bottleneck for system performance. In this work, we
develop a low-cost mechanism, called Charge Cache, that enables faster access to recently …

Data prefetching, ie, the act of predicting an application's future memory accesses and
fetching those that are not in the on-chip caches, is a well-known and widely used approach …