OpenMP implementations must exploit current and upcoming hardware for performance. Overhead must be controlled and kept to a minimum to avoid low performance at scale. Previous work has shown that overheads do not scale favourably in commonly used OpenMP implementations. Focusing on synchronization overhead, this work analyses the overhead of core OpenMP runtime library components for GNU and LLVM compilers, reflecting on the implementation's source code and algorithms. In addition, this work investigates the implementation's capability to handle current CPU-internal NUMA structure observed in recent Intel CPUs. Using a custom benchmark designed to expose synchronization overhead of OpenMP regardless of user code, substantial differences be...
International audienceIn this paper, we analyse performance and energy consumption of five OpenMP ru...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...
OpenMP implementations must exploit current and upcoming hardware for performance. Overhead must be ...
Exascale systems will exhibit much higher degrees of parallelism both in terms of the number of node...
Synchronization operations like barriers are fre-quently seen in parallel OpenMP programs, where an ...
Despite its ease of use, OpenMP has failed to gain widespread use on large scale systems, largely du...
OpenMP has become the de-facto standard for shared memory parallel programming. The directive based ...
Abstract. Despite its ease of use, OpenMP has failed to gain widespread use on large scale systems, ...
International audienceIn [8], we demonstrated that contrary to sequential applications, parallel Ope...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
The novel ScaleMP vSMP architecture employs commodity x86-based servers with an InfiniBand network t...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...
The recent addition of task parallelism to the OpenMP shared memory API allows programmers to expres...
Abstract. OpenMP has become the dominant standard for shared memory pro-gramming. It is traditionall...
International audienceIn this paper, we analyse performance and energy consumption of five OpenMP ru...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...
OpenMP implementations must exploit current and upcoming hardware for performance. Overhead must be ...
Exascale systems will exhibit much higher degrees of parallelism both in terms of the number of node...
Synchronization operations like barriers are fre-quently seen in parallel OpenMP programs, where an ...
Despite its ease of use, OpenMP has failed to gain widespread use on large scale systems, largely du...
OpenMP has become the de-facto standard for shared memory parallel programming. The directive based ...
Abstract. Despite its ease of use, OpenMP has failed to gain widespread use on large scale systems, ...
International audienceIn [8], we demonstrated that contrary to sequential applications, parallel Ope...
OpenMP, a directive-based API supports multithreading programming on shared memory systems. Since O...
The novel ScaleMP vSMP architecture employs commodity x86-based servers with an InfiniBand network t...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...
The recent addition of task parallelism to the OpenMP shared memory API allows programmers to expres...
Abstract. OpenMP has become the dominant standard for shared memory pro-gramming. It is traditionall...
International audienceIn this paper, we analyse performance and energy consumption of five OpenMP ru...
Non-uniform memory access (NUMA) architectures are modern shared-memory, multi-core machines offerin...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...