方便
发表于 2025-3-23 12:35:33
Parallel Roles for Practical Deterministic Parallel Programmingthe programmer considerable flexibility in expressing a parallel program..The model has been implemented in a Java-like language with references and object sharing. Preliminary results indicate that the runtime overhead is moderate (compared to standard Java programs), and that the compiled programs achieve substantial parallel speedups.
分开
发表于 2025-3-23 15:36:47
Efficient Inspected Critical Sections in Data-Parallel GPU Codesall threads that enter a critical section, the novel programmer-guided . keep the degree of parallelism up. As in optimistic approaches threads that are known not to interfere, may execute the body of the inspected critical section concurrently.
burnish
发表于 2025-3-23 19:49:28
Conference proceedings 2019e Station, TX, USA, in October 2017... The 17 full papers presented together with abstracts of 5 keynote talks, 11 invited speakers and 4 poster papers in this volume were carefully reviewed and selected from 26 submissions. LCPC encourages submissions that go outside its original scope of scientifi
STANT
发表于 2025-3-23 22:38:03
ADLER: Adaptive Sampling for Precise Monitoringce models of program . and prepare the kernels for sampling according to their complexity classes. We also show an example use case of real-time anomaly detection, where using ADLER’s execution models, the anomalies can be detected 23% quicker than static sampling.
carbohydrate
发表于 2025-3-24 04:28:14
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小样他闲聊
发表于 2025-3-24 10:33:10
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carotid-bruit
发表于 2025-3-24 14:36:12
Using Hardware Counters to Predict Vectorizationte a wide range of hardware counters across different machine learning models. We show that dynamic features, extracted from performance data, implicitly include useful information about the host machine and runtime program behavior.
JAMB
发表于 2025-3-24 17:04:09
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长矛
发表于 2025-3-24 22:36:45
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预感
发表于 2025-3-25 00:47:15
Memory Distance Measurement for Concurrent Programsd executions. In order to evaluate our approach, we propose a second symbolic execution based approach that is more rigorous but much less scalable than the first approach. We have compared the two approaches on small programs and evaluated the first one on Parsec benchmark suite and a large industr