Add to ORKGIncludes bibliographical references (page 41)Before writing data to a storage medium or transmitting across a transmission medium lossless compression is often used. Storage space or transmission bandwidth is saved by compression; when the data is subsequently read a decompression operation is performed. \ud Though this scheme has clear benefits, the execution time of compression and decompression is critical to its application in real-time systems. Software compression utilities are often slow, leading to degraded system performance. Hardware-based solutions, on the other hand, often drive large resource requirements and are not amenable to supporting future algorithmic changes.\ud We present a high-throughput, streaming, lossless compres...
With the introduction of programmable logic devices with large capacities, the time taken to configu...
Hardware implementation of lossless data compression is impor-tant for optimizing the capacity/cost/...
In scientific computing environments, large amounts of floating-point data often need to be transfer...
textabstractThis short paper present a collection of GPU lightweight decompression algorithms implem...
PCIe is a high-performing interface used to move data from a central host PC to an accelerator such ...
Data compression is the reduction of redundancy in data representation in order to decrease storage ...
While in-memory databases have largely removed I/O as a bottleneck for database operations, loading ...
The state-of-the-art FPGAs require massive configuration files seeking on-chip large memory storage....
Many applications make extensive use of various forms of compression techniques for storing and comm...
To efficiently support analytical applications from a data management perspective, in-memory column ...
New interfaces to interconnect CPUs and accelerators at memory-class bandwidth pose new opportunitie...
Abstract—Integer compression techniques can generally be classified as bit-wise and byte-wise approa...
This thesis investigates how to improve the performance of lossless data compression hardware as a t...
Real-time video compression is a challenging subject for FPGA implementation because it typically ha...
In Digital Signal Processing (DSP), Field Programmable Gate Arrays (FPGAs) are becoming ubiquitous f...
With the introduction of programmable logic devices with large capacities, the time taken to configu...
Hardware implementation of lossless data compression is impor-tant for optimizing the capacity/cost/...
In scientific computing environments, large amounts of floating-point data often need to be transfer...
textabstractThis short paper present a collection of GPU lightweight decompression algorithms implem...
PCIe is a high-performing interface used to move data from a central host PC to an accelerator such ...
Data compression is the reduction of redundancy in data representation in order to decrease storage ...
While in-memory databases have largely removed I/O as a bottleneck for database operations, loading ...
The state-of-the-art FPGAs require massive configuration files seeking on-chip large memory storage....
Many applications make extensive use of various forms of compression techniques for storing and comm...
To efficiently support analytical applications from a data management perspective, in-memory column ...
New interfaces to interconnect CPUs and accelerators at memory-class bandwidth pose new opportunitie...
Abstract—Integer compression techniques can generally be classified as bit-wise and byte-wise approa...
This thesis investigates how to improve the performance of lossless data compression hardware as a t...
Real-time video compression is a challenging subject for FPGA implementation because it typically ha...
In Digital Signal Processing (DSP), Field Programmable Gate Arrays (FPGAs) are becoming ubiquitous f...
With the introduction of programmable logic devices with large capacities, the time taken to configu...
Hardware implementation of lossless data compression is impor-tant for optimizing the capacity/cost/...
In scientific computing environments, large amounts of floating-point data often need to be transfer...