Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

Today's systems are overwhelmingly designed to move data to computation. This design
choice goes directly against at least three key trends in systems that cause performance …

The conventional approach of moving data to the CPU for computation has become a
significant performance bottleneck for emerging scale-out data-intensive applications due to …

Over the past two decades, the storage capacity and access bandwidth of main memory
have improved tremendously, by 128x and 20x, respectively. These improvements are …

Comprehensive workload characterization plays a pivotal role in comprehending Spark
applications, as it enables the analysis of diverse aspects and behaviors. This …

Understanding micro-architectural behavior is profound in efficiently using hardware
resources. Recent work has shown that, despite being aggressively optimized for modern …

Near-memory Computing (NMC) promises improved performance for the applications that
can exploit the features of emerging memory technologies such as 3D-stacked memory …

Since the publication of The Case for Learned Index Structures in 2018 [26], there has been
a rise in research that focuses on learned indexes for different domains and with different …

Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-
time exabytes of radio-astronomical signals to construct a high-resolution map of the sky …

One of the main challenges for modern processors is the data transfer between processor
and memory. Such data movement implies high latency and high energy consumption. In …