Heterogeneous CPU-FPGA systems are gaining momentum in the embedded systems sector and in the data center market. While the programming abstractions for implementing the data transfer between CPU and FPGA (and vice versa) that are available in today's commercial programming tools are well-suited for certain types of applications, the CPU-FPGA communication for applications that share complex pointer-based data structures between the CPU and FPGA remains difficult to implement. This paper focuses on programming environments providing a virtual memory space that is shared between the host CPU and one (or potentially several) FPGA devices. One example of shared virtual memory (SVM) is defined by the recent OpenCL 2.0 standard. SVM allows the s...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
Shared virtual memory simplifies heterogeneous platform programming by enabling sharing of memory ad...
OpenCL has emerged as a standard programming model for heterogeneous systems. Recent work combining ...
A key enabler for the ever-increasing adoption of FPGA accelerators is the availability of framework...
The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software...
Modern embedded systems on chip (SoCs) are heavily based on heterogeneous architectures that combine...
OpenCL functions as a portability layer for diverse heterogeneous hardware platforms including CPUs,...
OpenCL provides a consistent programming model across CPUs, GPUs, and FPGAs. However, to get reasona...
OpenCL is a widely adopted open standard for general purpose programming of diverse heterogeneous pa...
The problem of automatically generating hardware modules from high level application representations...
Abstract—The capacity of FPGA devices has reached the 1-million-LUT level, which provides space to a...
ABSTRACT We are proposing a shared-memory communication infrastructure that provides a common parall...
CPU-FPGA heterogeneous architectures are attracting ever-increasing attention in an attempt to advan...
Heterogeneous systems are the core architecture of most of the high-performance computing nodes, due...
Reaching the so-called “performance wall” in 2004 inspired innovative approaches to performance impr...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
Shared virtual memory simplifies heterogeneous platform programming by enabling sharing of memory ad...
OpenCL has emerged as a standard programming model for heterogeneous systems. Recent work combining ...
A key enabler for the ever-increasing adoption of FPGA accelerators is the availability of framework...
The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software...
Modern embedded systems on chip (SoCs) are heavily based on heterogeneous architectures that combine...
OpenCL functions as a portability layer for diverse heterogeneous hardware platforms including CPUs,...
OpenCL provides a consistent programming model across CPUs, GPUs, and FPGAs. However, to get reasona...
OpenCL is a widely adopted open standard for general purpose programming of diverse heterogeneous pa...
The problem of automatically generating hardware modules from high level application representations...
Abstract—The capacity of FPGA devices has reached the 1-million-LUT level, which provides space to a...
ABSTRACT We are proposing a shared-memory communication infrastructure that provides a common parall...
CPU-FPGA heterogeneous architectures are attracting ever-increasing attention in an attempt to advan...
Heterogeneous systems are the core architecture of most of the high-performance computing nodes, due...
Reaching the so-called “performance wall” in 2004 inspired innovative approaches to performance impr...
The proliferation of heterogeneous computing systems presents the parallel computing community with ...
Shared virtual memory simplifies heterogeneous platform programming by enabling sharing of memory ad...
OpenCL has emerged as a standard programming model for heterogeneous systems. Recent work combining ...