5 citations · 15 across the 7 of their papers we have counts for
9 papers
Graph Coarsening Enables Escaping Local Optima in Compute-Constrained Nonconvex MAX-CUT
M. Harper Langston, Pierre-David Letourneau, Dalton Jones +7
Because its binary optimization landscape contains exponentially many local optima, MAX-CUT is highly sensitive to initialization. We study Particle Polynomial Relaxation (PPR), a…
Hexagon-MLIR: An AI Compilation Stack For Qualcomm's Neural Processing Units (NPUs)
Mohammed Javed Absar, Muthu Baskaran, Abhikrant Sharma +22
In this paper, we present Hexagon-MLIR,an open-source compilation stack that targets Qualcomm Hexagon Neural Processing Unit (NPU) and provides unified support for lowering Triton…
A Quantitative Theory of Bottleneck Structures for Data Networks
Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju +5
The conventional view of the congestion control problem in data networks is based on the principle that a flow's performance is uniquely determined by the state of its bottleneck l…
Algorithms and Data Structures to Accelerate Network Analysis
Jordi Ros-Giralt, Alan Commike, Peter Cullen +1
As the sheer amount of computer generated data continues to grow exponentially, new bottlenecks are unveiled that require rethinking our traditional software and hardware architect…
Report of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC
Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu +6
Maintaining leadership in HPC requires the ability to support simulations at large scales and fidelity. In this study, we detail one of the most significant productivity challenges…
Multiresolution Priority Queues
Jordi Ros-Giralt, Alan Commike, Peter Cullen +3
Priority queues are container data structures essential to many high performance computing (HPC) applications. In this paper, we introduce multiresolution priority queues, a data s…