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Results 1 - 5 of 5 for Overhead (0.31 sec)
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android/guava/src/com/google/common/util/concurrent/MoreExecutors.java
* been shutdown). * * <p>Although all tasks are immediately executed in the thread that submitted the task, this * {@code ExecutorService} imposes a small locking overhead on each task submission in order to * implement shutdown and termination behavior. * * <p>The implementation deviates from the {@code ExecutorService} specification with regards to
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Wed Apr 17 16:33:44 GMT 2024 - 41.8K bytes - Viewed (0) -
android/guava/src/com/google/common/graph/InvalidatableSet.java
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Mon Jan 22 17:29:38 GMT 2024 - 1.8K bytes - Viewed (0) -
android/guava/src/com/google/common/io/ByteStreams.java
* userspace buffer (byte[] or ByteBuffer), then copies them from that buffer into the * destination channel. * </ol> * * This value is intended to be large enough to make the overhead of system calls negligible, * without being so large that it causes problems for systems with atypical memory management if * approaches 2 or 3 are used. */ private static final int ZERO_COPY_CHUNK_SIZE = 512 * 1024;
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Wed Jan 17 18:59:58 GMT 2024 - 29.7K bytes - Viewed (0) -
android/guava/src/com/google/common/util/concurrent/ExecutionSequencer.java
* non-static, and is initialized/removed frequently - this causes churn in the Thread specific * hashmaps. Using a static ThreadLocal to avoid that overhead would mean that different * ExecutionSequencer objects interfere with each other, which would be undesirable, in addition * to increasing the memory footprint of every thread that interacted with it. In order to release
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Thu Feb 01 21:46:34 GMT 2024 - 22.1K bytes - Viewed (0) -
android/guava/src/com/google/common/util/concurrent/AbstractFuture.java
// There are a few design constraints to consider // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I // have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the // timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of // spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for // similar purposes.
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Mon Apr 22 21:17:24 GMT 2024 - 63K bytes - Viewed (0)