• The constraining factors for performance are the number of concurrent database connections and available memory (both RAM and disk) in relation to incoming data volume.

    性能的限制因素是关于进入的数据量的并发数据库连接的数量和可用内存(RAM和磁盘)。

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  • Because each application that attaches to a database requires some private memory to be allocated, allowing a larger number of concurrent applications will use more memory.

    由于需要给连接到数据库的每个应用程序分配一些私有内存,因此允许有更多并发应用程序将意味着用去更多内存。

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  • He explains that concurrent programming is hard just like memory management because you need to balance correctness and performance.

    他解释说,并发编程的困难类似于内存管理,你需要平衡正确性和性能。

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  • Once all the concurrent work is done, or if free memory is exhausted ahead of schedule, the application is halted and the collection is completed.

    如果已经完成所有并发工作,或者闲置内存提前耗尽,则将中止应用程序并完成收集工作。

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  • The FPGA then filters out any data not relevant to the query, streaming the remaining data back to memory for concurrent processing by the CPU core.

    FPGA然后过滤掉与查询无关的数据,将剩余的数据放回内存,供 CPU 内核进行并发处理。

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  • Mini-httpd handles multiple concurrent requests in a single system thread, while demanding little from its host in the way of memory or CPU.

    mini - httpd可以在一个系统线程中处理多个并发请求,但是在主机上占用的内存或CPU很少。

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  • Atomic variables have memory semantics similar to that of volatile variables, but because they can also be modified atomically, they can be used as the basis for lock-free concurrent algorithms.

    原子变量的内存语义与volatile变量类似,但是因为它们也可以被原子性地修改,所以可以把它们用作不使用锁的并发算法的基础。

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  • The Go authors chose a message-passing model as their recommended method for concurrent programming. The language does still support Shared memory, however the authors have the following philosophy.

    Go的作者选择了消息传递模型来作为推荐的并发编程方法。

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  • The number of concurrent users (with its impact on the number of DB2 agents) determines how much more memory is required.

    并发用户的数目(它影响DB 2代理程序的数量)决定需要多少内存。

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  • Workstation/Concurrency ON, also called Concurrent GC. – Like in the previous scenario, but the GC does not suspend the managed threads for the entire period when it reclaims unused memory.

    工作站模式/并发执行,也叫并发GC-工作流程与非并发GC基本相似,但不会在整个清理周期挂起其他托管线程。

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  • Each concurrent download allocates its own temporal buffer, so you should be careful there to not run out of memory.

    每一个并发的加载分配它自己临时的缓存,因此在这里你应该小心不要超出内存。

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  • Although threading is still disallowed in general, these backend instances can maintain in-memory caches and serve multiple requests at once through the max-concurrent-requests parameter setting.

    尽管一般情况下还是不允许使用线程,这些后台实例可维持在内存缓存中,并通过max -concurrent - requests参数的设置,一次可以为多个请求服务。

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  • When launching multiple concurrent downloads you should keep in mind total device bandwidth it can support and amount of free memory.

    当开启多个并发的加载时,你应该时刻记住设备支持的所有带宽以及空余内存的数量。

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  • Concurrent programs that do not use synchronization fail for many reasons, including memory consistency problems.

    没有同步的并发程序会出现很多问题,包括内存一致性问题。

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  • If the application exhausts the memory of gen 0, and the concurrent collection is not finished, then the application has to suspend to wait for the concurrent collection finishes.

    如果应用程序用完第0代的内存,而并行收集还没有进行完毕,那么应用程序不得不暂停下来,等待并行收集的完成。

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  • If the application exhausts the memory of gen 0, and the concurrent collection is not finished, then the application has to suspend to wait for the concurrent collection finishes.

    如果应用程序用完第0代的内存,而并行收集还没有进行完毕,那么应用程序不得不暂停下来,等待并行收集的完成。

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