Peter Lindström
YOU?
Author Swipe
View article: Lossy Compression of Scientific Data: Applications Constrains and Requirements
Lossy Compression of Scientific Data: Applications Constrains and Requirements Open
Increasing data volumes from scientific simulations and instruments (supercomputers, accelerators, telescopes) often exceed network, storage, and analysis capabilities. The scientific community's response to this challenge is scientific da…
View article: ZFP: A compressed array representation for numerical computations
ZFP: A compressed array representation for numerical computations Open
HPC trends favor algorithms and implementations that reduce data motion relative to FLOPS. We investigate the use of lossy compressed data arrays in place of traditional IEEE floating point arrays to store the primary data of calculations.…
View article: A General Framework for Progressive Data Compression and Retrieval
A General Framework for Progressive Data Compression and Retrieval Open
In scientific simulations, observations, and experiments, the cost of transferring data to and from disk and across networks has become a significant bottleneck that particularly impacts subsequent data analysis and visualization. To addre…
View article: Progressive Tree-Based Compression of Large-Scale Particle Data
Progressive Tree-Based Compression of Large-Scale Particle Data Open
Scientific simulations and observations using particles have been creating large datasets that require effective and efficient data reduction to store, transfer, and analyze. However, current approaches either compress only small data well…
View article: A General Framework for Progressive Data Compression and Retrieval
A General Framework for Progressive Data Compression and Retrieval Open
In scientific simulations, observations, and experiments, the transfer of data to and from disk and across networks has become a major bottleneck for data analysis and visualization. Compression techniques have been employed to tackle this…
View article: Future of the production of green hydrogen in Paraguay
Future of the production of green hydrogen in Paraguay Open
Paraguay is also joining the worldwide movement towards economy decarbonization by considering hydrogen as a viable option. Given Paraguay’s abundant renewable energy resources, boasting approximately 8.7 GW of installed hydroelectric capa…
View article: ZHW: A Numerical CODEC for Big Data Scientific Computation
ZHW: A Numerical CODEC for Big Data Scientific Computation Open
Distributed big data in scientific computing presents a major I/O performance bottleneck when exploiting data paral-lelism. Consumer and producer compute nodes are often throttled by saturated data channels when processing large numerical …
View article: AMM: Adaptive Multilinear Meshes
AMM: Adaptive Multilinear Meshes Open
Adaptive representations are increasingly indispensable for reducing the in-memory and on-disk footprints of large-scale data. Usual solutions are designed broadly along two themes: reducing data precision, e.g., through compression, or ad…
View article: Parallel and Streaming Generation of Ghost Data for Structured Grids
Parallel and Streaming Generation of Ghost Data for Structured Grids Open
Parallel simulations decompose large domains into many blocks. A fundamental requirement for subsequent parallel analysis and visualization is the presence of ghost data that supplements each block with a layer of adjacent data elements fr…
View article: Preface
Preface Open
This February 2021 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the proceedings of IEEE VIS 2020, held online between 25-30 October 2020, hosted by General Chairs from the University of Utah. With I…
View article: Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution
Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution Open
To address the problem of ever-growing scientific data sizes making data movement a major hindrance to analysis, we introduce a novel encoding for scalar fields: a unified tree of resolution and precision, specifically constructed so that …
View article: ZFP Hardware Implementation
ZFP Hardware Implementation Open
As core counts increase in new HPC systems with comparatively little increase in memory bandwidth, the trend is an effective decrease in memory bandwidth per core. Other bandwidth limitations in HPC systems exist between CPU and GPU memory…
View article: Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods
Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods Open
Currently, the dominating constraint in many high performance computing applications is data capacity and bandwidth, in both inter-node communications and even more-so in on-node data motion. A new approach to address this limitation is to…
View article: Preface
Preface Open
This January 2020 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the proceedings of IEEE VIS 2019, held during 20-25 October 2019 at the Vancouver Convention Center in Vancouver, BC, Canada. With IEEE…
View article: Variable Precision Computing
Variable Precision Computing Open
This report summarizes the activities and major accomplishments of the Variable Precision Computing Strategic Initiative project. The overarching goal of this project was to initiate and promote a new paradigm in High Performance Computing…
View article: Universal Coding of the Reals using Bisection
Universal Coding of the Reals using Bisection Open
We propose a simple yet expressive framework for encoding any real number as a binary string based on bisecting intervals, starting with (--∞, +∞). Each bit of such a string represents the outcome of a binary comparison with a value contai…
View article: TTHRESH: Tensor Compression for Multidimensional Visual Data
TTHRESH: Tensor Compression for Multidimensional Visual Data Open
Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and they increasingly demand suitable data compression strategies. We introduce a novel lossy com…
View article: Error Analysis of ZFP Compression for Floating-Point Data
Error Analysis of ZFP Compression for Floating-Point Data Open
Compression of floating-point data will play an important role in high-performance computing as data bandwidth and storage become dominant costs. Lossy compression of floating-point data is powerful, but theoretical results are needed to b…
View article: Special Issue: Visualization Connections
Special Issue: Visualization Connections Open
The visualization community hosts a number of exciting workshops each year that focus on a diverse range of topics, including the use of virtual reality (VR) in visualization applications, design, and development of data systems for intera…
View article: A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization
A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization Open
There currently exist two dominant strategies to reduce data sizes in analysis and visualization: reducing the precision of the data, e.g., through quantization, or reducing its resolution, e.g., by subsampling. Both have advantages and di…
View article: Universal coding of the reals
Universal coding of the reals Open
We propose a modular framework for representing the real numbers that generalizes ieee, posits, and related floating-point number systems, and which has its roots in universal codes for the positive integers such as the Elias codes. This f…
View article: Evaluating lossy data compression on climate simulation data within a large ensemble
Evaluating lossy data compression on climate simulation data within a large ensemble Open
High-resolution Earth system model simulations generate enormous data volumes, and retaining the data from these simulations often strains institutional storage resources. Further, these exceedingly large storage requirements negatively im…
View article: Evaluating Lossy Data Compression on Climate Simulation Datawithin a Large Ensemble
Evaluating Lossy Data Compression on Climate Simulation Datawithin a Large Ensemble Open
High-resolution earth system model simulations generate enormous data volumes, and retaining the data from these simulations often strains institutional storage resources. Further, these exceedingly large storage requirements negatively im…