All work performed by all authors when at UW-Madison Abstract—Specialization and accelerators are being proposed as an effective way to address the slowdown of Dennard scaling. DySER is one such accelerator, which dynamically synthesizes large compound functional units to match program regions, using a co-designed compiler and microarchitecture. We have com-pleted a full prototype implementation of DySER integrated into the OpenSPARC processor (called SPARC-DySER), a co-designed compiler in LLVM, and a detailed performance evaluation on an FPGA system, which runs an Ubuntu Linux distribution and full applications. Through the prototype, this paper evaluates the fundamental principles of DySER acceleration. Our two key findings are: i) the D...
High Performance Computing (HPC) platforms allow scientists to model computationally intensive algor...
FPGA overlays have shown the potential to improve designers’ productivity through balancing flexibil...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...
Specialization and accelerators are being proposed as an effective way to address the slowdown of De...
The Dynamically Synthesized Execution (DySE) model is an execution model to improve the energy effic...
Due to limits in technology scaling, energy efficiency of logic devices is decreasing in successive...
Specialization is a promising direction for improving processor energy efficiency. With functionalit...
This contribution presents the performance modeling of a super desktop with GPU and FPGA accelerator...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
Original Aims of the Project The implementation of a processor on an FPGA using combinators as the i...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
During the past decade, accelerators, such as NVIDIA CUDA GPUs and Intel Xeon Phis, have seen an inc...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
Abstract. In this paper we describe DPFPA (Double Precision Floating Point Accelerator), a FPGA-base...
High Performance Computing (HPC) platforms allow scientists to model computationally intensive algor...
FPGA overlays have shown the potential to improve designers’ productivity through balancing flexibil...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...
Specialization and accelerators are being proposed as an effective way to address the slowdown of De...
The Dynamically Synthesized Execution (DySE) model is an execution model to improve the energy effic...
Due to limits in technology scaling, energy efficiency of logic devices is decreasing in successive...
Specialization is a promising direction for improving processor energy efficiency. With functionalit...
This contribution presents the performance modeling of a super desktop with GPU and FPGA accelerator...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
Original Aims of the Project The implementation of a processor on an FPGA using combinators as the i...
Heterogeneous computing offers a promising solution for high performance and energy efficient comput...
During the past decade, accelerators, such as NVIDIA CUDA GPUs and Intel Xeon Phis, have seen an inc...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
FPGA devices used in the HPC context promise an increased energy efficiency, enhancing the computing...
Abstract. In this paper we describe DPFPA (Double Precision Floating Point Accelerator), a FPGA-base...
High Performance Computing (HPC) platforms allow scientists to model computationally intensive algor...
FPGA overlays have shown the potential to improve designers’ productivity through balancing flexibil...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...