The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …

Develo** and tuning computational science applications to run on extreme scale systems
are increasingly complicated processes. Challenges such as managing memory access and …

The publish/subscribe paradigm is a popular model for allowing publishers (ie, data
generators) to selectively disseminate data to a large number of widely dispersed …

How can unlabeled video augment visual learning? Existing methods perform" slow" feature
analysis, encouraging temporal coherence, where the image representations of temporally …

Memory channel contention is a critical performance bottleneck in modern systems that have
highly parallelized processing units operating on large data sets. The memory channel is …

Parallel Input output is an essential component of modern high-performance computing
(HPC). Obtaining good I/O performance for a broad range of applications on diverse HPC …

Data prefetching is an effective data access latency hiding technique to mask the CPU stall
caused by cache misses and to bridge the performance gap between processor and …

Synthesis of systems containing application-specific as well as reprogrammable
components, such as off-the-shelf microprocessors, provides a promising approach to …

Inter-application I/O contention and performance interference have been recognized as
severe problems. In this work, we demonstrate, through measurement from Titan (world's …

The I/O bottleneck in high-performance computing is becoming worse as application data
continues to grow. In this work, we explore how patterns of I/O within these applications can …