This thesis describes the design of a pipeline architecture double precision floating point systolic cell for convolution. The arithmetic operations are distributed into three pipeline stages, enabling the cell to process each set of operands within 16 clock cycles. While offering the same precision obtained on a standard computers, the systolic cell reduces the convolution time expenditure by as much as three orders of magnitude
We present original approach to the design and implementation of the convolution computing unit in t...
The first part of this article surveys a large number of implementations of the convolution operatio...
As scientific computation continues to scale, it is crucial to use floating-point arithmetic process...
Many specialized processor boards have been developed to reduce the computation time of image proces...
The two-dimensional discrete convolution operator is targeted for performance improvement in order t...
Convolution is the basic operation behind many image processing algorithms. However, it is a computa...
Two-dimensional convolution is one of the basic operations in image processing, where it is used as ...
Usually, long convolutions are computed by programmable DSP boards using long FFTs. Typical operatio...
We present original approach to the design and implementation of the convolution in this article. Th...
International audienceThe use of IEEE 754-2008 half-precision floating-point numbers is an emerging ...
Abstract:- Floating point arithmetic is widely used in many areas. IEEE Standard 754 floating point ...
The Data-Intensive Architecture (DIVA) system incorporates Processing-In-Memory (PIM) chips as smart...
Abstract: Convolution is a formal mathematical operation, just as multiplication, addition, and inte...
The challenge in designing a floating-point arithmetic co-processor/processor for scientific and eng...
Many scenarios demand a high processing power often combined with a limited energy budget. A way to ...
We present original approach to the design and implementation of the convolution computing unit in t...
The first part of this article surveys a large number of implementations of the convolution operatio...
As scientific computation continues to scale, it is crucial to use floating-point arithmetic process...
Many specialized processor boards have been developed to reduce the computation time of image proces...
The two-dimensional discrete convolution operator is targeted for performance improvement in order t...
Convolution is the basic operation behind many image processing algorithms. However, it is a computa...
Two-dimensional convolution is one of the basic operations in image processing, where it is used as ...
Usually, long convolutions are computed by programmable DSP boards using long FFTs. Typical operatio...
We present original approach to the design and implementation of the convolution in this article. Th...
International audienceThe use of IEEE 754-2008 half-precision floating-point numbers is an emerging ...
Abstract:- Floating point arithmetic is widely used in many areas. IEEE Standard 754 floating point ...
The Data-Intensive Architecture (DIVA) system incorporates Processing-In-Memory (PIM) chips as smart...
Abstract: Convolution is a formal mathematical operation, just as multiplication, addition, and inte...
The challenge in designing a floating-point arithmetic co-processor/processor for scientific and eng...
Many scenarios demand a high processing power often combined with a limited energy budget. A way to ...
We present original approach to the design and implementation of the convolution computing unit in t...
The first part of this article surveys a large number of implementations of the convolution operatio...
As scientific computation continues to scale, it is crucial to use floating-point arithmetic process...