Shared virtual memory simplifies heterogeneous platform programming by enabling sharing of memory address pointers between heterogeneous devices in the platform. The most advanced implementations present a coherent view of memory to the programmer over the whole virtual address space of the process. From the point of view of data accesses, this System SVM (SSVM) enables the same programming paradigm in heterogeneous platforms as found in homogeneous platforms. C++ revision 17 adds its first features for explicit parallelism through its “Parallel Standard Template Library” (PSTL). This paper discusses the technical issues in offloading PSTL on heterogeneous platforms supporting SSVM and presents a working GCC-based proof-of-concept implement...
Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with hu...
Abstract. The Standard Template Adaptive Parallel Library (STAPL) is a par-allel library designed as...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Heterogeneous CPU-FPGA systems are gaining momentum in the embedded systems sector and in the data c...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
We first describe the design and implementation f a distributed shared memory system for a cluster o...
Although current homogeneous chips tightly couple the cores with cache-coherent shared virtual memor...
This deliverable gives a detailed language specification of a data-parallel programming language for...
Growing on-chip wire delays and limited extractable ILP will cause future application developers to ...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Modern embedded systems on chip (SoCs) are heavily based on heterogeneous architectures that combine...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with hu...
Abstract. The Standard Template Adaptive Parallel Library (STAPL) is a par-allel library designed as...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Heterogeneous CPU-FPGA systems are gaining momentum in the embedded systems sector and in the data c...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
Shared virtual memory (SVM) is a virtual memory layer with a single address space on top of a distri...
We first describe the design and implementation f a distributed shared memory system for a cluster o...
Although current homogeneous chips tightly couple the cores with cache-coherent shared virtual memor...
This deliverable gives a detailed language specification of a data-parallel programming language for...
Growing on-chip wire delays and limited extractable ILP will cause future application developers to ...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...
Modern embedded systems on chip (SoCs) are heavily based on heterogeneous architectures that combine...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Highly parallel machines needed to solve compute-intensive scientific applications are based on the ...
Vienna Fortran, a machine-independent language extension to Fortran which allows the user to write p...
Abstract. We present a software library Stxxl, that enables practiceoriented experimentation with hu...
Abstract. The Standard Template Adaptive Parallel Library (STAPL) is a par-allel library designed as...
Programming distributed memory systems forces the user to handle the problem of data locality. With ...