A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation

L Kneip, D Scaramuzza, R Siegwart - CVPR 2011, 2011 - ieeexplore.ieee.org
The Perspective-Three-Point (P3P) problem aims at determining the position and orientation
of the camera in the world reference frame from three 2D-3D point correspondences. This …

[PDF][PDF] Lulesh 2.0 updates and changes

I Karlin, J Keasler, JR Neely - 2013 - osti.gov
The Livermore Unstructured Lagrange Explicit Shock Hydrodynamics (LULESH) proxy
application [1] is being developed as part of the NNSA Advanced Scientific Computing …

Caliper: performance introspection for HPC software stacks

D Boehme, T Gamblin, D Beckingsale… - SC'16: Proceedings …, 2016 - ieeexplore.ieee.org
Many performance engineering tasks, from long-term performance monitoring to post-
mortem analysis and online tuning, require efficient runtime methods for introspection and …

Modeling soft-error propagation in programs

G Li, K Pattabiraman, SKS Hari… - 2018 48th Annual …, 2018 - ieeexplore.ieee.org
As technology scales to lower feature sizes, devices become more susceptible to soft errors.
Soft errors can lead to silent data corruptions (SDCs), seriously compromising the reliability …

Optimising purely functional GPU programs

TL McDonell, MMT Chakravarty, G Keller… - ACM SIGPLAN …, 2013 - dl.acm.org
Purely functional, embedded array programs are a good match for SIMD hardware, such as
GPUs. However, the naive compilation of such programs quickly leads to both code …

Understanding error propagation in GPGPU applications

G Li, K Pattabiraman, CY Cher… - SC'16: Proceedings of …, 2016 - ieeexplore.ieee.org
GPUs have emerged as general-purpose accelerators in high-performance computing
(HPC) and scientific applications. However, the reliability characteristics of GPU applications …

Scalable automatic differentiation of multiple parallel paradigms through compiler augmentation

WS Moses, SHK Narayanan, L Paehler… - … conference for high …, 2022 - ieeexplore.ieee.org
Derivatives are key to numerous science, engineering, and machine learning applications.
While existing tools generate derivatives of programs in a single language, modern parallel …

Compass: A framework for automated performance modeling and prediction

S Lee, JS Meredith, JS Vetter - Proceedings of the 29th ACM on …, 2015 - dl.acm.org
Flexible, accurate performance predictions offer numerous benefits such as gaining insight
into and optimizing applications and architectures. However, the development and …

Adaptive configuration selection for power-constrained heterogeneous systems

PE Bailey, DK Lowenthal, V Ravi… - 2014 43rd …, 2014 - ieeexplore.ieee.org
As power becomes an increasingly important design factor in high-end supercomputers,
future systems will likely operate with power limitations significantly below their peak power …

AMPT-GA: automatic mixed precision floating point tuning for GPU applications

PV Kotipalli, R Singh, P Wood, I Laguna… - Proceedings of the ACM …, 2019 - dl.acm.org
Mixed precision computations improve high performance computing throughput for
applications that can tolerate decreased mathematical precision in their computations …