Ultra-elastic cgras for irregular loop specialization
Reconfigurable accelerator fabrics, including coarse-grain reconfigurable arrays (CGRAs),
have experienced a resurgence in interest because they allow fast-paced software algorithm …
have experienced a resurgence in interest because they allow fast-paced software algorithm …
A fast algorithm for ICP-based 3D shape biometrics
In a biometrics scenario, gallery images are enrolled into the database ahead of the
matching step, which gives us the opportunity to build related data structures before the …
matching step, which gives us the opportunity to build related data structures before the …
Low power HEVC software decoder for mobile devices
In the context of mobile handheld devices, energy consumption is a primary concern and the
process of video decoding is often among the most resource-intensive applications. Recent …
process of video decoding is often among the most resource-intensive applications. Recent …
Synchoricity and NOCs could make billion gate custom hardware centric SOCs affordable
In this paper, we present a novel synchoros VLSI design scheme that discretizes space
uniformly. Synchoros derives from the Greek word chóros for space. We propose raising the …
uniformly. Synchoros derives from the Greek word chóros for space. We propose raising the …
Power-aware computing systems on FPGAs: a survey
A major concern with battery-operated devices is power-awareness and its appropriate
computing. The power dissipation of such systems is usually considered a hardware …
computing. The power dissipation of such systems is usually considered a hardware …
Energy efficiency and performance management of parallel dataflow applications
Parallelizing software is a popular way of achieving high energy efficiency since parallel
applications can be mapped on many cores and the clock frequency can be lowered. Perfect …
applications can be mapped on many cores and the clock frequency can be lowered. Perfect …
Mocha: Morphable locality and compression aware architecture for convolutional neural networks
Today, machine learning based on neural networks has become mainstream, in many
application domains. A small subset of machine learning algorithms, called Convolutional …
application domains. A small subset of machine learning algorithms, called Convolutional …
Power-aware HEVC decoding with tunable image quality
A high pressure is put on mobile devices to support increasingly advanced applications
requiring more processing capabilities. Among those, the emerging High Efficiency Video …
requiring more processing capabilities. Among those, the emerging High Efficiency Video …
Silago-cog: Coarse-grained grid-based design for near tape-out power estimation accuracy at high level
It is well known that ASICs have orders of magnitude higher power efficiency than general
propose processors. However, due to the high engineering and manufacturing cost only …
propose processors. However, due to the high engineering and manufacturing cost only …
RiBoSOM: Rapid bacterial genome identification using self-organizing map implemented on the synchoros SiLago platform
Artificial Neural Networks have been applied to many traditional machine learning
applications in image and speech processing. More recently, ANNs have caught attention of …
applications in image and speech processing. More recently, ANNs have caught attention of …