textabstractHigh-performance data-intensive query processing tasks like OLAP, data mining or scientific data analysis can be severely I/O bound, even when high-end RAID storage systems are used. Compression can alleviate this bottleneck only if encoding and decoding speeds significantly exceed RAID I/O bandwidth. For this purpose, we propose three new versatile compression schemes (PDICT, PFOR, and PFOR-DELTA) that are specifically designed to extract maximum IPC from modern CPUs. We compare these algorithms with compression techniques used in (commercial) database and information retrieval systems. Our experiments on the MonetDB/X100 database system, using both DSM and PAX disk storage, show that these techniques strongly accelerate TPC-H ...
Modern in-memory databases are typically used for high-performance workloads, therefore they have to...
The performance gap between computer processors and memory bandwidth is severely limiting the throug...
Because of the ever-increasing data being produced by today\u27s high performance computing (HPC) sc...
Data compression is one way to gain better performance from a database. Compression is typically ach...
High disk bandwidth in data-intensive applications is usually achieved with expensive hardware solu...
Data movement has long been identified as the biggest challenge facing modern computer systems' desi...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Storing data in compressed form is becoming common practice in high-performance systems, where memor...
Abstract—Due to their high peak performance and energy effi-ciency, massively parallel accelerators ...
Query co-processing on graphics processors (GPUs) has become an effective means to improve the perfo...
Nowadays, the large majority of research insights are gained by using compute-aided analyses. Before...
The goal of this project has been to develop a lossless compression algorithm for message-passing li...
Database machines are special purpose backend architectures that are designed to support efficiently...
This paper presents a new I/O technique called Selectively Parallel I/O Compression (SPIOC) for prov...
Hardware accelerators such as GPUs and FPGAs can often provide enormous computing capabilities and p...
Modern in-memory databases are typically used for high-performance workloads, therefore they have to...
The performance gap between computer processors and memory bandwidth is severely limiting the throug...
Because of the ever-increasing data being produced by today\u27s high performance computing (HPC) sc...
Data compression is one way to gain better performance from a database. Compression is typically ach...
High disk bandwidth in data-intensive applications is usually achieved with expensive hardware solu...
Data movement has long been identified as the biggest challenge facing modern computer systems' desi...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
Storing data in compressed form is becoming common practice in high-performance systems, where memor...
Abstract—Due to their high peak performance and energy effi-ciency, massively parallel accelerators ...
Query co-processing on graphics processors (GPUs) has become an effective means to improve the perfo...
Nowadays, the large majority of research insights are gained by using compute-aided analyses. Before...
The goal of this project has been to develop a lossless compression algorithm for message-passing li...
Database machines are special purpose backend architectures that are designed to support efficiently...
This paper presents a new I/O technique called Selectively Parallel I/O Compression (SPIOC) for prov...
Hardware accelerators such as GPUs and FPGAs can often provide enormous computing capabilities and p...
Modern in-memory databases are typically used for high-performance workloads, therefore they have to...
The performance gap between computer processors and memory bandwidth is severely limiting the throug...
Because of the ever-increasing data being produced by today\u27s high performance computing (HPC) sc...