tlb

Faster way to move memory page than mremap()?

左心房为你撑大大i 提交于 2019-12-03 08:50:41
问题 I've been experimenting with mremap(). I'd like to be able to move virtual memory pages around at high speeds. At least higher speeds than copying them. I have some ideas for algorithms which could make use of being able to move memory pages really fast. Problem is that the program below shows that mremap() is very slow -- at least on my i7 laptop -- compared to actually copying the same memory pages byte by byte. How does the test source code work? mmap() 256 MB of RAM which is bigger than

When to do or not do INVLPG, MOV to CR3 to minimize TLB flushing

谁都会走 提交于 2019-12-03 06:48:15
问题 Prologue I am an operating system hobbyist, and my kernel runs on 80486+, and already supports virtual memory. Starting from 80386, the x86 processor family by Intel and various clones thereof has supported virtual memory with paging. It is well known that when the PG bit in CR0 is set, the processor uses virtual address translation. Then, the CR3 register points to the top-level page directory, that is the root for 2-4 levels of page table structures that map the virtual addresses to

TLB misses vs cache misses?

风格不统一 提交于 2019-12-03 05:41:33
问题 Could someone please explain the difference between a TLB (Translation lookaside buffer) miss and a cache miss? I believe I found out TLB refers to some sort of virtual memory address but I wasn't overly clear what this actually meant? I understand cache misses result when a block of memory (the size of a cache line) is loaded into the (L3?) cache and if a required address is not held within the current cache lines- this is a cache miss. 回答1: Well, all of today's modern operating systems use

Memory barriers and the TLB

风格不统一 提交于 2019-12-03 04:38:58
问题 Memory barriers guarantee that the data cache will be consistent. However, does it guarantee that the TLB will be consistent? I am seeing a problem where the JVM (java 7 update 1) sometimes crashes with memory errors (SIGBUS, SIGSEG) when passing a MappedByteBuffer between threads. e.g. final AtomicReference<MappedByteBuffer> mbbQueue = new AtomicReference<>(); // in a background thread. MappedByteBuffer map = raf.map(MapMode.READ_WRITE, offset, allocationSize); Thread.yield(); while (

Demand Paging: Calculating effective memory access time

偶尔善良 提交于 2019-12-03 03:51:06
I can't understand the answer to this question: Consider an OS using one level of paging with TLB registers. If the page fault rate is 10% and dirty pages should be reloaded when needed, calculate the effective access time if: TLB Lookup = 20 ns TLB Hit ratio = 80% Memory access time = 75 ns Swap page time = 500,000 ns 50% of pages are dirty. Answer: T = 0.8(TLB+MEM) + 0.2 ( 0.9[TLB+MEM+MEM] + 0.1[TLB+MEM + 0.5(Disk) + 0.5(2Disk+MEM)] ) = 15,110 ns Can you explain why? In this context "effective" time means "expected" or "average" time. So you take the times it takes to access the page in the

When to do or not do INVLPG, MOV to CR3 to minimize TLB flushing

北城余情 提交于 2019-12-02 20:27:11
Prologue I am an operating system hobbyist, and my kernel runs on 80486+, and already supports virtual memory. Starting from 80386, the x86 processor family by Intel and various clones thereof has supported virtual memory with paging. It is well known that when the PG bit in CR0 is set, the processor uses virtual address translation. Then, the CR3 register points to the top-level page directory, that is the root for 2-4 levels of page table structures that map the virtual addresses to physical addresses. The processor does not consult these tables for each virtual address generated, instead

Memory barriers and the TLB

痴心易碎 提交于 2019-12-02 17:08:52
Memory barriers guarantee that the data cache will be consistent. However, does it guarantee that the TLB will be consistent? I am seeing a problem where the JVM (java 7 update 1) sometimes crashes with memory errors (SIGBUS, SIGSEG) when passing a MappedByteBuffer between threads. e.g. final AtomicReference<MappedByteBuffer> mbbQueue = new AtomicReference<>(); // in a background thread. MappedByteBuffer map = raf.map(MapMode.READ_WRITE, offset, allocationSize); Thread.yield(); while (!inQueue.compareAndSet(null, map)); // the main thread. (more than 10x faster than using map() in the same

Dump the contents of TLB buffer of x86 CPU

喜欢而已 提交于 2019-12-01 10:33:09
Is it possible to get list of translations (from virtual pages into physical pages) from TLB (Translation lookaside buffer, this is a special cache in the CPU). I mean modern x86 or x86_64; and I want to do it in programmatic way, not by using JTAG and shifting all TLB entries out. The linux kernel has no such dumper, there is page from linux kernel about cache and tlb: https://www.kernel.org/doc/Documentation/cachetlb.txt "Cache and TLB Flushing Under Linux." David S. Miller There was an such TLB dump in 80386DX (and 80486, and possibly in "Embedded Pentium" 100-166 MHz / " Embedded Pentium

Dump the contents of TLB buffer of x86 CPU

萝らか妹 提交于 2019-12-01 07:24:15
问题 Is it possible to get list of translations (from virtual pages into physical pages) from TLB (Translation lookaside buffer, this is a special cache in the CPU). I mean modern x86 or x86_64; and I want to do it in programmatic way, not by using JTAG and shifting all TLB entries out. 回答1: The linux kernel has no such dumper, there is page from linux kernel about cache and tlb: https://www.kernel.org/doc/Documentation/cachetlb.txt "Cache and TLB Flushing Under Linux." David S. Miller There was

Is the TLB shared between multiple cores?

最后都变了- 提交于 2019-11-30 14:59:14
I've heard that TLB is maintained by the MMU not the CPU cache. Then Does One TLB exist on the CPU and is shared between all processor or each processor has its own TLB cache? Could anyone please explain relationship between MMU and L1, L2 Cache? The TLB caches the translations listed in the page table. Each CPU core can be running in a different context, with different page tables. This is what you'd call the MMU, if it was a separate "unit", so each core has its own MMU. Any shared caches are always physically-indexed / physically tagged, so they cache based on post-MMU physical address. The