Custom computers are a new computing paradigm where reconfigurable logic in the form of SRAM-based Field Programmable Gate Arrays are used as a co-processor resource in addition to a conventional CPU. This allows application developers to adapt not only the software but also the hardware of the computer on an application-by-application basis. Experimental evaluation of computational speed for 2-D Discrete Cosine Transforms of 8×8 pixels blocks within a 512×512 pixel image show that a custom computer can provide speedups of 50-100 times compared to state-of-the art computer workstations, confirming the applicability of custom computing for video processing applications
Research has been undertaken into domain-specific reconfigurable architectures for future System-on-...
Abstract: Basics of application of nVidia© CUDA technology are considered for paralleling ...
This paper discusses an associative processor architecture designed to meet the demands of real-time...
Custom computers use a network of SRAM-based Field Programmable Gate Arrays as a co-processor resour...
Custom computers are a new computing paradigm where reconfigurable logic in the form of SRAM-based F...
Custom computers use SRAM-based Field Programmable Gate Arrays as a co-processor resource in additio...
The Field Programmable Gate Array (FPGA) based custom computer is a new computing paradigm which can...
This paper presents how to implement the block-matching motion estimation algorithm efficiently by F...
Real-time video compression is a challenging subject for FPGA implementation because it typically ha...
Current approaches towards building a reconfigurable processor are targeted towards general purpose ...
Run-Time Reconfigured systems offer additional hardware resources to systems based on reconfigurable...
This paper presents a new technique which allows interactive optimization of video compression algor...
There is a growing trend to use coprocessors to offload and accelerate domain-specific applications ...
Due to their high volume, general-purpose processors, and now chip multiprocessors (CMPs), are much ...
Modern image and video standards achieve very high compression ratios and include several coding mod...
Research has been undertaken into domain-specific reconfigurable architectures for future System-on-...
Abstract: Basics of application of nVidia© CUDA technology are considered for paralleling ...
This paper discusses an associative processor architecture designed to meet the demands of real-time...
Custom computers use a network of SRAM-based Field Programmable Gate Arrays as a co-processor resour...
Custom computers are a new computing paradigm where reconfigurable logic in the form of SRAM-based F...
Custom computers use SRAM-based Field Programmable Gate Arrays as a co-processor resource in additio...
The Field Programmable Gate Array (FPGA) based custom computer is a new computing paradigm which can...
This paper presents how to implement the block-matching motion estimation algorithm efficiently by F...
Real-time video compression is a challenging subject for FPGA implementation because it typically ha...
Current approaches towards building a reconfigurable processor are targeted towards general purpose ...
Run-Time Reconfigured systems offer additional hardware resources to systems based on reconfigurable...
This paper presents a new technique which allows interactive optimization of video compression algor...
There is a growing trend to use coprocessors to offload and accelerate domain-specific applications ...
Due to their high volume, general-purpose processors, and now chip multiprocessors (CMPs), are much ...
Modern image and video standards achieve very high compression ratios and include several coding mod...
Research has been undertaken into domain-specific reconfigurable architectures for future System-on-...
Abstract: Basics of application of nVidia© CUDA technology are considered for paralleling ...
This paper discusses an associative processor architecture designed to meet the demands of real-time...