112 citations · 298 across the 40 of their papers we have counts for
4 papers · 1 filter
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Assaf Eisenman, Maxim Naumov, Darryl Gardner +5
Typical large-scale recommender systems use deep learning models that are stored on a large amount of DRAM. These models often rely on embeddings, which consume most of the require…
Queue Layouts of Planar 3-Trees
Jawaherul Md. Alam, Michael A. Bekos, Martin Gronemann +2
A queue layout of a graph G consists of a linear order of the vertices of G and a partition of the edges of G into queues, so that no two independent edges of the same queue are ne…
Improved Basic Block Reordering
Andy Newell, Sergey Pupyrev
Basic block reordering is an important step for profile-guided binary optimization. The state-of-the-art goal for basic block reordering is to maximize the number of fall-through b…
On Dispersable Book Embeddings
Jawaherul Md. Alam, Michael A. Bekos, Martin Gronemann +2
In a dispersable book embedding, the vertices of a given graph must be ordered along a line l, called spine, and the edges of G must be drawn at different half-planes bounded b…