Near-Data-Processing (NDP) architectures present a promising way to alleviate data
movement costs and can provide significant performance and energy benefits to parallel …

DIMM-based near-memory processing architectures (DIMM-NMP) have received growing
interest from both academia and industry. They have the advantages of large memory …

Traditional batch job schedulers adopt the Compact-n-Exclusive (CE) strategy, packing
processes of a parallel job into as few compute nodes as possible. While CE minimizes inter …

Concurrent B+ trees have been widely used in many systems. With the scale of data
requests increasing exponentially, the systems are facing tremendous performance …

Common Midpoint (CMP) and Common Reflection Surface (CRS) are widely used methods
for improving the signal-to-noise ratio in the field of seismic processing. These methods are …

Irregular applications comprise an increasingly important workload domain for many fields,
including bioinformatics, chemistry, physics, social sciences and machine learning …

Synchronization primitives like barriers heavily impact the performance of parallel programs.
As core counts increase and granularity decreases, the value of enabling fast barriers …

With increasing core counts in modern multi-core designs, the overhead of synchronization
jeopardizes the scalability and efficiency of parallel applications. To mitigate these …

In the current data-intensive landscape, B+ trees are crucial data structures utilized across
various fields like databases and web indexing. With the rise of data explosion, the demand …

Concurrent B+ trees have been widely used in many systems from file systems to databases.
With the volume of data requests expanding exponentially, the systems are facing …