General purpose microprocessor based computers usu-ally speed their arithmetic processing performance by using a floating point co-processor. Because adding more co-processors represents neither a technological nor a cost problem we investigated a system based on a MIPS R2000 [2] and 4 floating point units. In this paper we show a block diagram of such an im-plementation and how two important scientific opera-tions can be accelerated using a single unmodified data bus. A large percentage of the engineering applications are solved with the help of linear algebra methods like BLAS3 [4] algorithms; It is precisely for these primi-tives that the proposed architecture brings significant performance gains. The first operation described will be a ...
The challenge in designing a floating-point arithmetic co-processor/processor for scientific and eng...
Abstract—FPGA-based acceleration of matrix operations is a promising solution in mobile systems. How...
Abstract — In this paper, we introduce a scalable macro-pipelined architecture to perform floating p...
Basic Linear Algebra Subprograms (BLAS) and Linear Algebra Package (LAPACK) form basic building bloc...
Part 4: Architecture and HardwareInternational audienceMatrix computing plays a vital role in many s...
International audienceOn modern architectures, the performance of 32-bit operations is often at leas...
This work presents a new fast and efficient algorithm for a floating point multiplier that adheres t...
Today’s computer systems develop towards less energy consumption while keeping high performance. The...
In this paper we describe DPFPA (Double Precision Floating Point Accelerator), a FPGA-based coproces...
We present two designs (I and II) for IEEE 754 double precision floating point matrix multiplication...
The design of a floating point matrix- vector multiplication processor array for VLSI, which has an ...
Includes bibliographical references (page 37)This project demonstrates the use of more than one proc...
International audienceOn modern multi-core, many-core, and heterogeneous architectures, floating-poi...
Math coprocessors are vital components in modern computing to improve the overall performance of the...
This paper presents floating point multiplier capable of supporting wide range of application domain...
The challenge in designing a floating-point arithmetic co-processor/processor for scientific and eng...
Abstract—FPGA-based acceleration of matrix operations is a promising solution in mobile systems. How...
Abstract — In this paper, we introduce a scalable macro-pipelined architecture to perform floating p...
Basic Linear Algebra Subprograms (BLAS) and Linear Algebra Package (LAPACK) form basic building bloc...
Part 4: Architecture and HardwareInternational audienceMatrix computing plays a vital role in many s...
International audienceOn modern architectures, the performance of 32-bit operations is often at leas...
This work presents a new fast and efficient algorithm for a floating point multiplier that adheres t...
Today’s computer systems develop towards less energy consumption while keeping high performance. The...
In this paper we describe DPFPA (Double Precision Floating Point Accelerator), a FPGA-based coproces...
We present two designs (I and II) for IEEE 754 double precision floating point matrix multiplication...
The design of a floating point matrix- vector multiplication processor array for VLSI, which has an ...
Includes bibliographical references (page 37)This project demonstrates the use of more than one proc...
International audienceOn modern multi-core, many-core, and heterogeneous architectures, floating-poi...
Math coprocessors are vital components in modern computing to improve the overall performance of the...
This paper presents floating point multiplier capable of supporting wide range of application domain...
The challenge in designing a floating-point arithmetic co-processor/processor for scientific and eng...
Abstract—FPGA-based acceleration of matrix operations is a promising solution in mobile systems. How...
Abstract — In this paper, we introduce a scalable macro-pipelined architecture to perform floating p...