AbstractWe describe the design and performance of the GRAPE-MP board, an SIMD accelerator board for quadrupleprecision arithmetic operations. A GRAPE-MP board houses one GRAPE-MP processor chip and an FPGA chip which handles the communication with the host computer. A GRAPE-MP chip has 6 processing elements (PE) and operates with 100MHz clock cycle. Each PE can perform one addition and one multiplication in every clock cycle. The architecture of the GRAPE-MP is similar to that of the GRAPE-DR. It is implemented using the structured ASIC chip from eASIC corp. A GRAPE-MP processor board has the theoretical peak quadruple-precision performance of 1.2 Gflops. As a preliminary result, we present the performance of the GRAPE-MP board for two targ...
APEmille is a SIMD parallel processor under development at the Italian National Institute for Nuclea...
Floating-point (FP) operations defined in IEEE 754-2008 Standard for Floating-Point Arithmetic can p...
High speed computation is the need of today’s generation of Processors. To accomplish this maj...
AbstractWe describe the design and performance of the GRAPE-MP board, an SIMD accelerator board for ...
AbstractThere are scientific applications which require calculations with high precision such as Fey...
This paper presents an implementation of the double precision exponential function. A novel table-ba...
AbstractWe describe the implementation and performance of dense matrix multiplication and LU decompo...
We present the outline of a research project aimed at designing and constructing a hybrid computing ...
International audienceThis paper proposes an innovative Floating Point (FP) architecture for Variabl...
The GRAPE-4, the world's fastest computer in 1995-1997, has produced some major scientific results, ...
Scientific computing applications often require support for non-traditional data types, for example,...
International audienceGPUs are an important hardware development platform for problems where massive...
Machine Learning requires an enormous amount of mathematical computation per second. Several archite...
Many computationally intensive scientific applications involve repetitive floating point operations ...
Double precision floating-point arithmetic is inadequate for many scientific computations. This pape...
APEmille is a SIMD parallel processor under development at the Italian National Institute for Nuclea...
Floating-point (FP) operations defined in IEEE 754-2008 Standard for Floating-Point Arithmetic can p...
High speed computation is the need of today’s generation of Processors. To accomplish this maj...
AbstractWe describe the design and performance of the GRAPE-MP board, an SIMD accelerator board for ...
AbstractThere are scientific applications which require calculations with high precision such as Fey...
This paper presents an implementation of the double precision exponential function. A novel table-ba...
AbstractWe describe the implementation and performance of dense matrix multiplication and LU decompo...
We present the outline of a research project aimed at designing and constructing a hybrid computing ...
International audienceThis paper proposes an innovative Floating Point (FP) architecture for Variabl...
The GRAPE-4, the world's fastest computer in 1995-1997, has produced some major scientific results, ...
Scientific computing applications often require support for non-traditional data types, for example,...
International audienceGPUs are an important hardware development platform for problems where massive...
Machine Learning requires an enormous amount of mathematical computation per second. Several archite...
Many computationally intensive scientific applications involve repetitive floating point operations ...
Double precision floating-point arithmetic is inadequate for many scientific computations. This pape...
APEmille is a SIMD parallel processor under development at the Italian National Institute for Nuclea...
Floating-point (FP) operations defined in IEEE 754-2008 Standard for Floating-Point Arithmetic can p...
High speed computation is the need of today’s generation of Processors. To accomplish this maj...