The IllustrisTNG simulations: public data release
We present the full public release of all data from the TNG100 and TNG300 simulations of
the IllustrisTNG project. IllustrisTNG is a suite of large volume, cosmological, gravo …
the IllustrisTNG project. IllustrisTNG is a suite of large volume, cosmological, gravo …
The illustris simulation: Public data release
We present the full public release of all data from the Illustris simulation project. Illustris is a
suite of large volume, cosmological hydrodynamical simulations run with the moving-mesh …
suite of large volume, cosmological hydrodynamical simulations run with the moving-mesh …
Designing effective inter-pixel information flow for natural image matting
We present a novel, purely affinity-based natural image matting algorithm. Our method relies
on carefully defined pixel-to-pixel connections that enable effective use of information …
on carefully defined pixel-to-pixel connections that enable effective use of information …
Parallel I/O, analysis, and visualization of a trillion particle simulation
Petascale plasma physics simulations have recently entered the regime of simulating
trillions of particles. These unprecedented simulations generate massive amounts of data …
trillions of particles. These unprecedented simulations generate massive amounts of data …
Data elevator: Low-contention data movement in hierarchical storage system
Hierarchical storage subsystems that include multiple layers of burst buffers (BB) and disk-
based parallel file systems (PFS), are becoming an essential part of HPC systems to …
based parallel file systems (PFS), are becoming an essential part of HPC systems to …
Messi: In-memory data series indexing
Data series similarity search is a core operation for several data series analysis applications
across many different domains. However, the state-of-the-art techniques fail to deliver the …
across many different domains. However, the state-of-the-art techniques fail to deliver the …
Paris+: Data series indexing on multi-core architectures
Data series similarity search is a core operation for several data series analysis applications
across many different domains. Nevertheless, even state-of-the-art techniques cannot …
across many different domains. Nevertheless, even state-of-the-art techniques cannot …
Fast data series indexing for in-memory data
Data series similarity search is a core operation for several data series analysis applications
across many different domains. However, the state-of-the-art techniques fail to deliver the …
across many different domains. However, the state-of-the-art techniques fail to deliver the …
Scimate: A novel mapreduce-like framework for multiple scientific data formats
Despite the popularity of MapReduce, there are several obstacles to applying it for
develo** scientific data analysis applications. Current MapReduce implementations …
develo** scientific data analysis applications. Current MapReduce implementations …
Paris: The next destination for fast data series indexing and query answering
We propose ParIS, the first disk-based data series index that inherently takes advantage of
modern hardware parallelization, in order to accelerate processing times. Our experimental …
modern hardware parallelization, in order to accelerate processing times. Our experimental …