A Better X86 Memory Model: X86-TSO
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Memory Consistency
Lecture 9: Memory Consistency Parallel Computing Stanford CS149, Winter 2019 Midterm ▪ Feb 12 ▪ Open notes ▪ Practice midterm Stanford CS149, Winter 2019 Shared Memory Behavior ▪ Intuition says loads should return latest value written - What is latest? - Coherence: only one memory location - Consistency: apparent ordering for all locations - Order in which memory operations performed by one thread become visible to other threads ▪ Affects - Programmability: how programmers reason about program behavior - Allowed behavior of multithreaded programs executing with shared memory - Performance: limits HW/SW optimizations that can be used - Reordering memory operations to hide latency Stanford CS149, Winter 2019 Today: what you should know ▪ Understand the motivation for relaxed consistency models ▪ Understand the implications of relaxing W→R ordering Stanford CS149, Winter 2019 Today: who should care ▪ Anyone who: - Wants to implement a synchronization library - Will ever work a job in kernel (or driver) development - Seeks to implement lock-free data structures * - Does any of the above on ARM processors ** * Topic of a later lecture ** For reasons to be described later Stanford CS149, Winter 2019 Memory coherence vs. memory consistency ▪ Memory coherence defines requirements for the observed Observed chronology of operations on address X behavior of reads and writes to the same memory location - All processors must agree on the order of reads/writes to X P0 write: 5 - In other words: it is possible to put all operations involving X on a timeline such P1 read (5) that the observations of all processors are consistent with that timeline P2 write: 10 ▪ Memory consistency defines the behavior of reads and writes to different locations (as observed by other processors) P2 write: 11 - Coherence only guarantees that writes to address X will eventually propagate to other processors P1 read (11) - Consistency deals with when writes to X propagate to other processors, relative to reads and writes to other addresses Stanford CS149, Winter 2019 Coherence vs. -
Memory Ordering: a Value-Based Approach
Memory Ordering: A Value-Based Approach Harold W. Cain Mikko H. Lipasti Computer Sciences Dept. Dept. of Elec. and Comp. Engr. Univ. of Wisconsin-Madison Univ. of Wisconsin-Madison [email protected] [email protected] Abstract queues, etc.) used to find independent operations and cor- rectly execute them out of program order are often con- Conventional out-of-order processors employ a multi- strained by clock cycle time. In order to decrease clock ported, fully-associative load queue to guarantee correct cycle time, the size of these conventional structures must memory reference order both within a single thread of exe- usually decrease, also decreasing IPC. Conversely, IPC cution and across threads in a multiprocessor system. As may be increased by increasing their size, but this also improvements in process technology and pipelining lead to increases their access time and may degrade clock fre- higher clock frequencies, scaling this complex structure to quency. accommodate a larger number of in-flight loads becomes There has been much recent research on mitigating this difficult if not impossible. Furthermore, each access to this negative feedback loop by scaling structures in ways that complex structure consumes excessive amounts of energy. are amenable to high clock frequencies without negatively In this paper, we solve the associative load queue scalabil- affecting IPC. Much of this work has focused on the ity problem by completely eliminating the associative load instruction issue queue, physical register file, and bypass queue. Instead, data dependences and memory consistency paths, but very little has focused on the load queue or store constraints are enforced by simply re-executing load queue [1][18][21]. -