71 citations · 96 across the 4 of their papers we have counts for
5 papers
GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search
Jifan Shi, Jianyang Gao, James Xia +2
Approximate nearest neighbor search (ANNS) on GPUs is gaining increasing popularity for modern retrieval and recommendation workloads that operate over massive high-dimensional vec…
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs
Hiroyuki Ootomo, Akira Naruse, Corey Nolet +3
Approximate Nearest Neighbor Search (ANNS) plays a critical role in various disciplines spanning data mining and artificial intelligence, from information retrieval and computer vi…
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Wei Ding, Llion Jones +6
Currently, a growing number of mature natural language processing applications make people's life more convenient. Such applications are built by source code - the language in soft…
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9
Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models taken from NLP. These LMs reach for new prediction frontiers…
Performance analysis and optimization of the JOREK code for many-core CPUs
T. B. Fehér, M. Hölzl, G. Latu +1
This report investigates the performance of the JOREK code on the Intel Knights Landing and Skylake processor architectures. The OpenMP scaling of the matrix construction part of t…