Add to ORKGLow-power, high-performance computing nowadays relies on accelerator cards to speed up the calculations. Combining the power of GPUs with the flexibility of FPGAs enlarges the scope of problems that can be accelerated. We describe the performance analysis of a desktop equipped with a GPU Tesla 2050 and an FPGA Virtex- 6 LX 240T. The balance between the I/O and the raw peak performance is analyzed using the roofline model. A well-tuned accelerator- based codesign, identifying the parallelism, the computation and data patterns of different classes of algorithms, will enable to maximize the performance of the combined GPU/FPGA system
Data analysis is a rising field of interest for computer science research due to the growing amount ...
Abstract—Graphics processing units (GPUs) are capable of achieving remarkable performance improvemen...
The application of accelerators in HPC applications has seen enormous growth in the last decade. In ...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
This contribution presents the performance modeling of a super desktop with GPU and FPGA accelerator...
The performance and the versatility of today's PCs exceeds many times the power of the fastest numbe...
Nowadays, processors alone cannot deliver what computation hungry image processing applications dema...
Computation of intensive interactive software applications on R&D desktops require a versatile hardw...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
Hardware accelerators are nowadays very common in HPC systems, and GPUs are playing a major role in ...
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based acc...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
OpenCL has been proposed as a means of accelerating functional computation using FPGA and GPU accele...
As CPU clock frequencies plateau and the doubling of CPU cores per processor ex-acerbate the memory ...
There is a growing trend to use coprocessors to offload and accelerate domain-specific applications ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
Abstract—Graphics processing units (GPUs) are capable of achieving remarkable performance improvemen...
The application of accelerators in HPC applications has seen enormous growth in the last decade. In ...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
This contribution presents the performance modeling of a super desktop with GPU and FPGA accelerator...
The performance and the versatility of today's PCs exceeds many times the power of the fastest numbe...
Nowadays, processors alone cannot deliver what computation hungry image processing applications dema...
Computation of intensive interactive software applications on R&D desktops require a versatile hardw...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
Hardware accelerators are nowadays very common in HPC systems, and GPUs are playing a major role in ...
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based acc...
The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance...
OpenCL has been proposed as a means of accelerating functional computation using FPGA and GPU accele...
As CPU clock frequencies plateau and the doubling of CPU cores per processor ex-acerbate the memory ...
There is a growing trend to use coprocessors to offload and accelerate domain-specific applications ...
Data analysis is a rising field of interest for computer science research due to the growing amount ...
Abstract—Graphics processing units (GPUs) are capable of achieving remarkable performance improvemen...
The application of accelerators in HPC applications has seen enormous growth in the last decade. In ...
