We propose GNNLab, a sample-based GNN training system in a single machine multi-GPU
setup. GNNLab adopts a factored design for multiple GPUs, where each GPU is dedicated to …

Scaling the performance of short TCP connections on multicore systems is fundamentally
challenging. Although many proposals have attempted to address various shortcomings …

Commodity computer systems contain more and more processor cores and exhibit
increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects …

Interactive services often have large-scale parallel implementations. To deliver fast
responses, the median and tail latencies of a service's components must be low. In this …

Rapid growth of the demand for computational power has led to the creation of large-scale
data centers. They consume enormous amounts of electrical power resulting in high …

This paper analyzes the scalability of seven system applications (Exim, memcached,
Apache, PostgreSQL, gmake, Psearchy, and MapReduce) running on Linux on a 48-core …

This paper presents the most exhaustive study of synchronization to date. We span multiple
layers, from hardware cache-coherence protocols up to high-level concurrent software. We …

For the past 30+ years, system calls have been the de facto interface used by applications to
request services from the operating system kernel. System calls have almost universally …

Multiprocessor application performance can be limited by the operating system when the
application uses the operating system frequently and the operating system services use data …

What opportunities for multicore scalability are latent in software interfaces, such as system
call APIs? Can scalability challenges and opportunities be identified even before any …