Hardware acceleration in the form of customized datapath and control circuitry tuned to specific applications has gained popularity for its promise to utilize transistors more efficiently. However, architectural research in the area of specialization architectures is still in its preliminary stages. A major obstacle for such research has been the lack of an architecture-level infrastructure that analyzes and quantifies the benefits and trade-offs across different designs options. Existing accelerator design primarily relies on creating Register-Transfer Level (RTL) implementations, a tedious and time-consuming process, making early-stage, design space exploration for specialized architecture designs infeasible. This dissertation presents t...
The EDA industry has recently witnessed the growing popularity of densely populated, IP rich SoC des...
The design of specialized accelerators is essential to the success of many modern Systems-on-Chip. E...
CPUs and dedicated accelerators (namely GPUs and FPGAs) continue to grow increasingly large and comp...
Hardware accelerators have become permanent features in the post-Dennard computing landscape, displa...
There is a large, emerging, and commercially relevant class of applications which stands to be enabl...
Heterogeneous System-on-Chip (SoC) architectures combine general-purpose processors with many accele...
In light of the failure of Dennard scaling and recent slowdown of Moore's Law, both industry and aca...
The innovation in computer architecture and the development of simulation tools are influencing each...
The demand for computing performance is ever increasing. However, more computing performance often r...
The performance of a platform is evaluated based on its ability to deal with the processing of multi...
......As we near the end of Dennard scaling, traditional performance and power scaling benefits base...
The once exponential general purpose processors’ (e.g. CPUs) growth of speedup driven bytransistor s...
With power limitations imposing hard bounds on the amount of a chip that can be powered simultaneous...
The world needs special-purpose accelerators to meet future constraints on computation and power con...
This paper focuses on mastering the architecture development of reconfigurable hardware accelerators...
The EDA industry has recently witnessed the growing popularity of densely populated, IP rich SoC des...
The design of specialized accelerators is essential to the success of many modern Systems-on-Chip. E...
CPUs and dedicated accelerators (namely GPUs and FPGAs) continue to grow increasingly large and comp...
Hardware accelerators have become permanent features in the post-Dennard computing landscape, displa...
There is a large, emerging, and commercially relevant class of applications which stands to be enabl...
Heterogeneous System-on-Chip (SoC) architectures combine general-purpose processors with many accele...
In light of the failure of Dennard scaling and recent slowdown of Moore's Law, both industry and aca...
The innovation in computer architecture and the development of simulation tools are influencing each...
The demand for computing performance is ever increasing. However, more computing performance often r...
The performance of a platform is evaluated based on its ability to deal with the processing of multi...
......As we near the end of Dennard scaling, traditional performance and power scaling benefits base...
The once exponential general purpose processors’ (e.g. CPUs) growth of speedup driven bytransistor s...
With power limitations imposing hard bounds on the amount of a chip that can be powered simultaneous...
The world needs special-purpose accelerators to meet future constraints on computation and power con...
This paper focuses on mastering the architecture development of reconfigurable hardware accelerators...
The EDA industry has recently witnessed the growing popularity of densely populated, IP rich SoC des...
The design of specialized accelerators is essential to the success of many modern Systems-on-Chip. E...
CPUs and dedicated accelerators (namely GPUs and FPGAs) continue to grow increasingly large and comp...