Thread packing (TP) is a widely-used technique to improve the efficiency of parallel systems. Despite extensive prior works, relatively little work has been done to investigate its performance inefficiencies. To bridge this gap, we quantify its performance impact on synchronization-intensive applications and identify the root causes of its performance inefficiencies
Parallel workloads most commonly execute onto pools of thread, allowing to dispatch and run individu...
This paper compares the throughput and latency of four protocols that provide total ordering. Two of...
International audienceThe parallelism in shared-memory systems has increased significantly with the ...
Thread packing (TP) is an effective and widely-used technique to significantly improve the efficienc...
time library [1] is a popular C++ parallelization environment [2][3] that offers a set of methods an...
International audienceWith the introduction of multi-core processors, thread affinity has quickly ap...
The use of multithreading can enhance the performance of a software system. However, its excessive u...
With the pervasiveness of multicore architectures, multi-threading is an important- and often necess...
In processors with several levels of hardware resource sharing, like CMPs in which each core is an S...
Extracting high-performance from the emerging Chip Multiproces-sors (CMPs) requires that the applica...
Analyzing multi-threaded programs is quite challenging, but is necessary to obtain good multicore pe...
A thread executing on a simultaneous multithreading (SMT) processor that experiences a long-latency ...
Power-Aware computing is gaining an increasing attention both in academic and industrial settings. T...
Transaction Memory systems may suffer from performance degradation when the concurrency level ...
The future of performance scaling lies in massively parallel workloads, but less-parallel applicati...
Parallel workloads most commonly execute onto pools of thread, allowing to dispatch and run individu...
This paper compares the throughput and latency of four protocols that provide total ordering. Two of...
International audienceThe parallelism in shared-memory systems has increased significantly with the ...
Thread packing (TP) is an effective and widely-used technique to significantly improve the efficienc...
time library [1] is a popular C++ parallelization environment [2][3] that offers a set of methods an...
International audienceWith the introduction of multi-core processors, thread affinity has quickly ap...
The use of multithreading can enhance the performance of a software system. However, its excessive u...
With the pervasiveness of multicore architectures, multi-threading is an important- and often necess...
In processors with several levels of hardware resource sharing, like CMPs in which each core is an S...
Extracting high-performance from the emerging Chip Multiproces-sors (CMPs) requires that the applica...
Analyzing multi-threaded programs is quite challenging, but is necessary to obtain good multicore pe...
A thread executing on a simultaneous multithreading (SMT) processor that experiences a long-latency ...
Power-Aware computing is gaining an increasing attention both in academic and industrial settings. T...
Transaction Memory systems may suffer from performance degradation when the concurrency level ...
The future of performance scaling lies in massively parallel workloads, but less-parallel applicati...
Parallel workloads most commonly execute onto pools of thread, allowing to dispatch and run individu...
This paper compares the throughput and latency of four protocols that provide total ordering. Two of...
International audienceThe parallelism in shared-memory systems has increased significantly with the ...