activity
20162024
most citedA neural network memory prefetcher using semantic locality

60 citations · 87 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AR2024

DR-CGRA: Supporting Loop-Carried Dependencies in CGRAs Without Spilling Intermediate Values

Elad Hadar, Yoav Etsion

Coarse-grain reconfigurable architectures (CGRAs) are gaining traction thanks to their performance and power efficiency. Utilizing CGRAs to accelerate the execution of tight loops…

cs.DC2020

Semantic prefetching using forecast slices

Leeor Peled, Uri Weiser, Yoav Etsion

Modern prefetchers identify memory access patterns in order to predict future accesses. However, many applications exhibit irregular access patterns that do not manifest spatio-tem…

cs.DC2019★ 2 cited

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing

B. Salami, K. Parasyris, A. Cristal +42

The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engi…

cs.DB2019

The TrieJax Architecture: Accelerating Graph Operations Through Relational Joins

Oren Kalinsky, Benny Kimelfeld, Yoav Etsion

Graph pattern matching (e.g., finding all cycles and cliques) has become an important component in many critical domains such as social networks, biology, and cyber-security. This…

cs.DB2018★ 3 cited

Efficiently Charting RDF

Oren Kalinsky, Oren Mishali, Aidan Hogan +2

We propose a visual query language for interactively exploring large-scale knowledge graphs. Starting from an overview, the user explores bar charts through three interactions: cla…

cs.DC2018★ 60 cited

A neural network memory prefetcher using semantic locality

Leeor Peled, Uri Weiser, Yoav Etsion

Accurate memory prefetching is paramount for processor performance, and modern processors employ various techniques to identify and prefetch different memory access patterns. While…