research
∙
04/04/2023
Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems
In modern computing environments, users may have multiple systems access...
share
research
∙
02/26/2023
Asynchronous Persistence with ASAP
Supporting atomic durability of updates for persistent memories is typic...
research
∙
12/02/2022
Parallelizing Maximal Clique Enumeration on GPUs
We present a GPU solution for exact maximal clique enumeration (MCE) tha...
research
∙
08/02/2022
A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems
Sequence alignment is a fundamentally memory bound computation whose per...
research
∙
04/21/2022
Parallel Vertex Cover Algorithms on GPUs
Finding small vertex covers in a graph has applications in numerous doma...
research
∙
04/05/2022
High-throughput Pairwise Alignment with the Wavefront Algorithm using Processing-in-Memory
We show that the wavefront algorithm can achieve higher pairwise read al...
research
∙
01/08/2022
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs
Dynamic parallelism on GPUs allows GPU threads to dynamically launch oth...
research
∙
10/04/2021
Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware
Many modern workloads such as neural network inference and graph process...
research
∙
05/09/2021
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture
Many modern workloads, such as neural networks, databases, and graph pro...
research
∙
04/27/2021
K-Clique Counting on GPUs
Counting k-cliques in a graph is an important problem in graph analysis ...
research
∙
12/24/2019
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
The wide adoption of deep neural networks has been accompanied by ever-i...
research
∙
01/29/2019
