MATRIX is a novel, coarse-grain, reconfigurable computing architecture which supports configurable instruction distribution. Device resources are allocated to controlling and describing the computation on a per task basis. Application-specific regularity allows us to compress the resources allocated to instruction control and distribution, in many situations yielding more resources for datapaths and computations. The adaptability is made possible by a multi-level configuration scheme, a unified configurable network supporting both datapaths and instruction distribution, and a coarse-grained building block which can serve as an instruction store, a memory element, or a computational element. In a 0.5 CMOS process, the 8-bit functional unit a...
Recent decades have seen large growth in the silicon industry with transistor scaling and transistor...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...
General-purpose computing devices allow us to (1) customize computation after fabrication and (2) ...
Using super-resolution techniques to estimate the direction that a signal arrived at a radio receive...
Original article can be found at: http://www.medjcn.com/ Copyright Softmotor LimitedHigh performance...
Architecture for dense matrix multiplication on a high-performance reconfigurable syste
Part 4: Architecture and HardwareInternational audienceMatrix computing plays a vital role in many s...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Matrix operations, like matrix multiplication, are commonly used in almost all areas of scientific r...
Abstract—FPGA-based acceleration of matrix operations is a promising solution in mobile systems. How...
Matrix-matrix multiplication is a key computational kernel for numerous applications in science and ...
Matrix computations lie at the heart of many scientific computational algorithms including signal pr...
CD-ROM in pocket on back end paper.Bibliography: leaves 254-259.xiv, 259 leaves : ill. ; 30 cm + 1 c...
Field programmable gate arrays are a class of integrated circuit that enable logic functions and int...
Recent decades have seen large growth in the silicon industry with transistor scaling and transistor...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...
General-purpose computing devices allow us to (1) customize computation after fabrication and (2) ...
Using super-resolution techniques to estimate the direction that a signal arrived at a radio receive...
Original article can be found at: http://www.medjcn.com/ Copyright Softmotor LimitedHigh performance...
Architecture for dense matrix multiplication on a high-performance reconfigurable syste
Part 4: Architecture and HardwareInternational audienceMatrix computing plays a vital role in many s...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Matrix operations, like matrix multiplication, are commonly used in almost all areas of scientific r...
Abstract—FPGA-based acceleration of matrix operations is a promising solution in mobile systems. How...
Matrix-matrix multiplication is a key computational kernel for numerous applications in science and ...
Matrix computations lie at the heart of many scientific computational algorithms including signal pr...
CD-ROM in pocket on back end paper.Bibliography: leaves 254-259.xiv, 259 leaves : ill. ; 30 cm + 1 c...
Field programmable gate arrays are a class of integrated circuit that enable logic functions and int...
Recent decades have seen large growth in the silicon industry with transistor scaling and transistor...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
To solve the computational complexity and time-consuming problem of large matrix multiplication, thi...