aengelke
Joined 3 years ago
Joined 3 years ago
Yes, yes, and yes. For databases, query optimization (esp. join ordering for larger queries, which heavily depends on estimates) is fundamental. Query optimization happens at the level of the query plan, JIT compilation is only relevant afterwards. A bad query plan leads to asymptotically worse performance (e.g., bad join ordering with huge intermediate results).
On query plan execution: The "classical" model as used in e.g. Postgres is a pull-based iterator model, where operators implement a next() method yielding the next tuple and in there recursively call next() on their child operators (e.g., a next() of a select operator calls next() on its child operator, then applies the predicate [what Postgres JIT-compiles], and returns the tuple if the predicate was true). This can happen one tuple at a time (Postgres) or "vectorized" where multiple tuples are processed at once (e.g. DuckDB). A query-compiling database will split the tree into pipelines and compile each pipeline as one function (e.g., a pipeline will iterate over all the tuples from a source (e.g. tablescan) and a select operator then becomes an if statement inside that loop). This results in pretty tight loops, avoids per-tuple dispatch overhead, and enables more optimizations inside the JIT-ted code (e.g., tuple values don't need to be reloaded from memory all the time). (I find the original paper on query compilation [1] to be well readable.)
Template-based code generators suffer from bad code quality due to missing register allocation.
Our TPDE-based compilers compile a bit slower than template-based code generation but the generated code is much smaller and faster ([2] Fig. 2). Also for database workloads ([2] Fig. 6).
All that said, Postgres' main limitation is that it (IIRC) only compiles single expressions from operators, not pipelines. This fundamentally limits the achievable performance improvement compared to databases that perform more extensive query compilation.
[1]: https://aengelke.net/pubs/2403-cgo.pdf [2]: https://aengelke.net/pubs/2602-cgo1.pdf
PS: sorry for the promotion of my own research here, just couldn't resist.
In case of the jump example, the effects are documented by Intel and AMD and they still differ. Point of the GP was that all CPUs don't decode valid instructions differently, which is not fully accurate as shown by the examples; and some of these differences are also explicitly documented.
It's also not accurate that most prefixes are obsolete when most see regular use today (66 size override for 16-bit operations, f2/f3 for string operations, 66/f2/f3 mandatory prefix for many (e.g. SSE) instructions, 64/65 fs/gs override for thread-local storage access and per-thread kernel storage, f0 lock for atomic operations, 3e (again) for branch-taken hint, 4x REX prefix for r8-r15 and 64-bit operand size; one can argue that the 67 address-size override is useless, and only the 26, 2e, and 36 are ignored; I don't count VEX/EVEX/REX2 as prefixes but more as opcode escapes).
Oh, that's not completely true. Intel 64 and AMD64 are not identical and they certainly have encodings that behave differently. As an example: f3 41 90 is pause on Intel, but xchg r8d, eax on AMD (granted, this is not a canonical instruction encoding). 66 e9 xx xx yy yy is a unconditional jump to a 32-bit relative offset on Intel, but on AMD, the offset is 16-bit only (yy yy are the start of the next instruction). x86-64 is typically used to refer to the very large common subset, but this doesn't mean the implementations behave identically.
There are also some weird corner cases where CPUs aren't 100% backwards compatible, just backwards compatible enough for the software that matters.
This is not too difficult, it just requires a different execution style. Salesforce's Hyper for example very heavily relies on JIT compilation, as does Umbra [1], which some people regard as one of the fastest databases right now. Umbra doesn't cache any IR or compiled code and still has an extremely low start-up latency; an interpreter exists but is practically never used.
Postgres is very robust and very powerful, but simply not designed for fast execution of queries.
Disclosure: I work in the group that develops Umbra.
Gift cards are used by phishers. In our institution, we routinely get personalized spam mails (in the name of the corresponding group lead of the recipient, sent via GMail -- this is not low-effort) that ask whether they are available and, when (accidentally) responding, ask for Apple gift cards.
> these are the string instructions like REP MOVSB
AArch64 nowadays has somewhat similar CPY* and SET* instructions. Does that make AArch64 CISC? :-) (Maybe REP SCASB/CMPSB/LODSB (the latter being particularly useless) is a better example.)
Not quite unique: the now-deprecated Intel MPX instructions had similar semantics, e.g. BNDCU or BNDMK. BNDLDX/BNDSTX are even weirder as they don't compute the address as specified but treat the index part of the memory operand separately.
[1]: https://www-user.tu-chemnitz.de/~heha/hs/chm/x86.chm/x64.htm
Apple obviously had an advantage as they also control the hardware (and Arm helped by adding some extensions to simplify translation); significantly easing two difficult parts of translating from x86: TSO and status flags. AVX is somewhat annoying (256-bit regs -> 128-bit regs, frequent merging of scalar values), but manageable.
> You would like to be able to precisely handle exceptions (especially ones caused by invalid memory accesses) while presenting a userspace exception handler with an architecturally valid state for the source program.
This is absolutely annoying and makes many optimizations much more difficult as a lot of additional state needs to be kept around, either for real or in metadata for reconstruction (including weird status flags, fun with partially written flags (inc/dec), maybe-written flags (shift/rotate), etc.). Does Rosetta 2 always have precise status flags (including PF/AF) at every possibly-faulting memory access? (This should be rarely needed in practice, so I've never implemented flag recovery in my own binary translators (primarily for research, Instrew but also non-public).)