Matrix inversion is a common function found in many algorithms used in wireless communication systems. As FPGAs become an increasingly attractive platform for wireless communication, it is important to understand the trade-offs in designing a matrix inversion core on an FPGA. This article describes a matrix inversion core generator tool, GUSTO, that we developed to ease the design space exploration across different matrix inversion architectures. GUSTO is the first tool of its kind to provide automatic generation of a variety of general-purpose matrix inversion architectures with different parameterization options. GUSTO also provides an optimized application-specific architecture with an average of 59% area decrease and 3X throughput incre...
In this paper, we analyze the VLSI implementation tradeoffs for linear data detection in the uplink...
MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports configurable i...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...
Matrix inversion is a common function found in many algorithms used in wireless communication system...
Matrix inversion is an essential computation for various algorithms which are employed in multi-ante...
Matrix inversion is an essential computation for various algorithms which are employed in multi-ante...
Matrix computations lie at the heart of many scientific computational algorithms including signal pr...
Matrix decomposition is required in various algorithms used in wireless communication applications. ...
Original article can be found at: http://www.medjcn.com/ Copyright Softmotor LimitedHigh performance...
Matrix inversion for real-time applications can be a challenge for the designers since its computati...
Conference PaperThis paper presents a novel architecture for matrix inversion by generalizing the QR...
Matrix inversion is a mathematical algorithm that is widely used and applied in many real time engin...
Digital Communications require faster and more dedicated electronic plat-forms to satisfy its real t...
Reconfigurable computing is certainly one of the most important emerging research topics on digital ...
The choice of a computing platform plays an important role in the overall design of systems. Previou...
In this paper, we analyze the VLSI implementation tradeoffs for linear data detection in the uplink...
MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports configurable i...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...
Matrix inversion is a common function found in many algorithms used in wireless communication system...
Matrix inversion is an essential computation for various algorithms which are employed in multi-ante...
Matrix inversion is an essential computation for various algorithms which are employed in multi-ante...
Matrix computations lie at the heart of many scientific computational algorithms including signal pr...
Matrix decomposition is required in various algorithms used in wireless communication applications. ...
Original article can be found at: http://www.medjcn.com/ Copyright Softmotor LimitedHigh performance...
Matrix inversion for real-time applications can be a challenge for the designers since its computati...
Conference PaperThis paper presents a novel architecture for matrix inversion by generalizing the QR...
Matrix inversion is a mathematical algorithm that is widely used and applied in many real time engin...
Digital Communications require faster and more dedicated electronic plat-forms to satisfy its real t...
Reconfigurable computing is certainly one of the most important emerging research topics on digital ...
The choice of a computing platform plays an important role in the overall design of systems. Previou...
In this paper, we analyze the VLSI implementation tradeoffs for linear data detection in the uplink...
MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports configurable i...
In recent years, the big data era has produced an increasing volume and complexity of data that requ...