会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明授权
    • Cache spill management techniques using cache spill prediction
    • 缓存溢出管理技术使用缓存溢出预测
    • US08407421B2
    • 2013-03-26
    • US12639214
    • 2009-12-16
    • Simon C. Steely, Jr.William C. HasenplaughAamer JaleelGeorge Z. Chrysos
    • Simon C. Steely, Jr.William C. HasenplaughAamer JaleelGeorge Z. Chrysos
    • G06F12/00
    • G06F12/0806G06F12/12
    • An apparatus and method is described herein for intelligently spilling cache lines. Usefulness of cache lines previously spilled from a source cache is learned, such that later evictions of useful cache lines from a source cache are intelligently selected for spill. Furthermore, another learning mechanism—cache spill prediction—may be implemented separately or in conjunction with usefulness prediction. The cache spill prediction is capable of learning the effectiveness of remote caches at holding spilled cache lines for the source cache. As a result, cache lines are capable of being intelligently selected for spill and intelligently distributed among remote caches based on the effectiveness of each remote cache in holding spilled cache lines for the source cache.
    • 这里描述了用于智能地溢出高速缓存行的装置和方法。 了解先前从源缓存溢出的高速缓存行的有用性,从而智能地选择来自源缓存的随后驱逐的溢出。 此外,另一种学习机制 - 缓存溢出预测 - 可以单独实施或结合有用性预测来实现。 高速缓存溢出预测能够学习在为源缓存保留溢出的高速缓存行时远程高速缓存的有效性。 因此,基于每个远程高速缓存在保存用于源高速缓存的溢出高速缓存行的有效性的情况下,高速缓存行能够被智能地选择为溢出并且智能地分布在远程高速缓存中。
    • 4. 发明申请
    • CACHE SPILL MANAGEMENT TECHNIQUES
    • 缓存溢出管理技术
    • US20110145501A1
    • 2011-06-16
    • US12639214
    • 2009-12-16
    • Simon C. Steely, JR.William C. HasenplaughAamer JaleelGeorge Z. Chrysos
    • Simon C. Steely, JR.William C. HasenplaughAamer JaleelGeorge Z. Chrysos
    • G06F12/08G06F12/00
    • G06F12/0806G06F12/12
    • An apparatus and method is described herein for intelligently spilling cache lines. Usefulness of cache lines previously spilled from a source cache is learned, such that later evictions of useful cache lines from a source cache are intelligently selected for spill. Furthermore, another learning mechanism—cache spill prediction—may be implemented separately or in conjunction with usefulness prediction. The cache spill prediction is capable of learning the effectiveness of remote caches at holding spilled cache lines for the source cache. As a result, cache lines are capable of being intelligently selected for spill and intelligently distributed among remote caches based on the effectiveness of each remote cache in holding spilled cache lines for the source cache.
    • 这里描述了用于智能地溢出高速缓存行的装置和方法。 了解先前从源缓存溢出的高速缓存行的有用性,从而智能地选择来自源缓存的随后驱逐的溢出。 此外,另一种学习机制 - 缓存溢出预测 - 可以单独实施或结合有用性预测来实现。 高速缓存溢出预测能够学习在为源缓存保留溢出的高速缓存行时远程高速缓存的有效性。 因此,基于每个远程高速缓存在保存用于源高速缓存的溢出高速缓存行的有效性的情况下,高速缓存行能够被智能地选择为溢出并且智能地分布在远程高速缓存中。