Sparse linear algebra includes the fundamental and important operations in various large-
scale scientific computing and real-world applications. There exists performance bottleneck …

The GraphBLAS standard (GraphBlas. org) is being developed to bring the potential of
matrix-based graph algorithms to the broadest possible audience. Mathematically, the …

SuiteSparse: GraphBLAS is a full implementation of the GraphBLAS standard, which defines
a set of sparse matrix operations on an extended algebra of semirings using an almost …

Tor is the second generation onion router supporting the anonymous transport of TCP
streams over the Internet. Its low latency makes it very suitable for common tasks, such as …

Sparse tensors arise in problems in science, engineering, machine learning, and data
analytics. Programs that operate on such tensors can exploit sparsity to reduce storage …

In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph
analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic …

Graph processing applications are notorious for exhibiting poor cache locality due to an
irregular memory access pattern. However, prior work on graph reordering has observed …

Weaning is one of the most stressful challenges in the pig's life, which contributes to
dysfunctions of intestinal and immune system, disrupts the gut microbial ecosystem, and …

Triangle counting serves as a key building block for a set of important graph algorithms in
network science. In this paper, we address the IEEE HPEC Static Graph Challenge problem …

The first book to present the common mathematical foundations of big data analysis across a
range of applications and technologies. Today, the volume, velocity, and variety of data are …