Jiya Su
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View article: How Fast Can Graph Computations Go on Fine-grained Parallel Architectures
How Fast Can Graph Computations Go on Fine-grained Parallel Architectures Open
Large-scale graph problems are of critical and growing importance and historically parallel architectures have provided little support. In the spirit of co-design, we explore the question, How fast can graph computing go on a fine-grained …
View article: UpDown: Programmable fine-grained Events for Scalable Performance on Irregular Applications
UpDown: Programmable fine-grained Events for Scalable Performance on Irregular Applications Open
Applications with irregular data structures, data-dependent control flows and fine-grained data transfers (e.g., real-world graph computations) perform poorly on cache-based systems. We propose the UpDown accelerator that supports fine-gra…
View article: PIMMiner: A High-performance PIM Architecture-aware Graph Mining Framework
PIMMiner: A High-performance PIM Architecture-aware Graph Mining Framework Open
Graph mining applications, such as subgraph pattern matching and mining, are widely used in real-world domains such as bioinformatics, social network analysis, and computer vision. Such applications are considered a new class of data-inten…
View article: SampleMine
SampleMine Open
Subgraph Pattern Mining (SPM) is an important class of graph applications that aim to discover structural patterns in a graph. Due to the enormous exploration space, SPM is in general computationally challenging. To accelerate SPM, many ra…