activity
20172021
collaborators

6 papers

cs.AI2021

Comparing and Combining Approximate Computing Frameworks

Saeid Barati, Gordon Kindlmann, Hank Hoffmann

Approximate computing frameworks configure applications so they can operate at a range of points in an accuracy-performance trade-off space. Prior work has introduced many framewor…

cs.HC2020

Surfacing Visualization Mirages

Andrew McNutt, Gordon Kindlmann, Michael Correll

Dirty data and deceptive design practices can undermine, invert, or invalidate the purported messages of charts and graphs. These failures can arise silently: a conclusion derived…

cs.GR2019

Point Movement in a DSL for Higher-Order FEM Visualization

Teodoro Collin, Charisee Chiw, L. Ridgway Scott +2

Scientific visualization tools tend to be flexible in some ways (e.g., for exploring isovalues) while restricted in other ways, such as working only on regular grids, or only on un…

math.NA2019

An Adaptive Savitsky-Golay Filter for Smoothing Finite Element Computation

Teodoro Collin, Gordon Kindlmann, L. Ridgway Scott

The smoothing technique of Savitzky and Golay is extended to data defined on multidimensional meshes. A smoothness-increasing accuracy-conserving (SIAC) filter is defined that is s…

cs.PL2018

Compiling Diderot: From Tensor Calculus to C

Charisee Chiw, Gordon L. Kindlmann, John Reppy

Diderot is a parallel domain-specific language for analysis and visualization of multidimensional scientific images, such as those produced by CT and MRI scanners. In particular, i…

cs.HC2017

An exploration to visualize finite element data with a DSL

Charisee Chiw, Gordon Kindlmann, John Reppy

The scientific community use PDEs to model a range of problems. The people in this domain are interested in visualizing their results, but existing mechanisms for visualization can…