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Groups > comp.lang.postscript > #3746 > unrolled thread
| Started by | David Newall <davidn@davidnewall.com> |
|---|---|
| First post | 2022-02-09 01:32 +1100 |
| Last post | 2022-02-16 14:29 +1100 |
| Articles | 4 — 3 participants |
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Speed or space David Newall <davidn@davidnewall.com> - 2022-02-09 01:32 +1100
Re: Speed or space John Reiser <vendor@BitWagon.com> - 2022-02-09 09:59 -0800
Re: Speed or space Carlos <carlos@cvkm.cz> - 2022-02-10 15:28 +0100
Re: Speed or space David Newall <davidn@davidnewall.com> - 2022-02-16 14:29 +1100
| From | David Newall <davidn@davidnewall.com> |
|---|---|
| Date | 2022-02-09 01:32 +1100 |
| Subject | Speed or space |
| Message-ID | <62027f03$1@news.ausics.net> |
Still working on utf8show and have classic space vs. time tradeoff.
I can store the UnicodeEncoding map in a Dictionary, which is blindingly
fast, or in a sparse array, which is more compact but slower to access.
Every glyph painted needs a lookup in the map.
---Bytes Used-- --Savings-- -Time(ms)-- S:D ms
Map Source Dict Sparse Bytes % Dict Sparse Ratio
AdobeGlyphList(1) 222472 180798 41686 19% 161 2968 18.45
FreeSerif.gn2(2) 442320 356006 86314 20% 604 2856 4.73
UnifontMedium.gn2(3) 3357832 2173806 1184026 35% 156 949 6.08
(1) AdobeGlyphList from ghostscript v9.50 on Ubuntu 20.04.3.
(2) Generated by fontforge from FreeSerif.sfd extracted from
freefont-src-20120503.tar.gz from ftp.gnu.org/gnu/freefont.
(3) Generated by fontforge from unifont-14.0.01.ttf extracted
from unifont-14.0.01.tar.gz from ftp.gnu.org/gnu/unifont/.
Tests were performed using Ghostscript 9.5 on Ubuntu 20.04.3 with
Intel(R) Core(TM) i7-1165G7 @ 2.80GHz. Glyphs for UNICODE values 0
through 150,000 were retrieved from each map five times.
I don't know why accessing the sparse Adobe map is so much slower than
the other two. Average retrieval time is under 4ns; for UnifontMedium
it's under 1.3ns.
I'm going to implement it one way only. Which should it be?
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| From | John Reiser <vendor@BitWagon.com> |
|---|---|
| Date | 2022-02-09 09:59 -0800 |
| Message-ID | <Z5WdncDej45rnZn_nZ2dnUU7_83NnZ2d@giganews.com> |
| In reply to | #3746 |
On 2/8/22 06:32, David Newall wrote:
> Still working on utf8show and have classic space vs. time tradeoff.
[[snip]]
> I'm going to implement it one way only. Which should it be?
Small space is more important than blindingly-fast. Think of containers
in the cloud, where stingy RAM allocations abound and demand paging
is horrible or impossible.
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| From | Carlos <carlos@cvkm.cz> |
|---|---|
| Date | 2022-02-10 15:28 +0100 |
| Message-ID | <20220210152810.00002cff@cvkm.cz> |
| In reply to | #3746 |
On Wed, 9 Feb 2022 01:32:35 +1100 David Newall <davidn@davidnewall.com> wrote: > Still working on utf8show and have classic space vs. time tradeoff. > > I can store the UnicodeEncoding map in a Dictionary, which is > blindingly fast, or in a sparse array, which is more compact but > slower to access. Every glyph painted needs a lookup in the map. I don't know what a sparse array is in this context. Is it like the input array to unicodefont? In that case maybe it could be optimized, by, idk, putting code points in entries 0, 2, 4, 6, ... to speed up lookup, and the corresponding arrays with glyph names (or just the main glyph name) in entries 1, 3, 5, 7, ..., or something like that. > > ---Bytes Used-- --Savings-- -Time(ms)-- S:D ms > Map Source Dict Sparse Bytes % Dict Sparse Ratio > AdobeGlyphList(1) 222472 180798 41686 19% 161 2968 18.45 > FreeSerif.gn2(2) 442320 356006 86314 20% 604 2856 4.73 > UnifontMedium.gn2(3) 3357832 2173806 1184026 35% 156 949 6.08 > > (1) AdobeGlyphList from ghostscript v9.50 on Ubuntu 20.04.3. > > (2) Generated by fontforge from FreeSerif.sfd extracted from > freefont-src-20120503.tar.gz from ftp.gnu.org/gnu/freefont. > > (3) Generated by fontforge from unifont-14.0.01.ttf extracted > from unifont-14.0.01.tar.gz from ftp.gnu.org/gnu/unifont/. > > Tests were performed using Ghostscript 9.5 on Ubuntu 20.04.3 with > Intel(R) Core(TM) i7-1165G7 @ 2.80GHz. Glyphs for UNICODE values 0 > through 150,000 were retrieved from each map five times. > > I don't know why accessing the sparse Adobe map is so much slower than > the other two. Average retrieval time is under 4ns; for UnifontMedium > it's under 1.3ns. > > I'm going to implement it one way only. Which should it be? Contrary to John's opinion, I don't think space matters much, especially if it's only 3 MB. So I'd choose speed. But then, I don't know anything about Postscript printers or other low capacity devices. C.
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| From | David Newall <davidn@davidnewall.com> |
|---|---|
| Date | 2022-02-16 14:29 +1100 |
| Message-ID | <5a784437-8d6f-ff9c-1639-d742f4abd5bb@davidnewall.com> |
| In reply to | #3750 |
On 11/2/22 01:28, Carlos wrote: > I don't know what a sparse array is in this context. Thanks for your feedback and thoughts. I deliberately chose a term that suggests the implementation without pinning it down so that I could ask about speed vs space without getting bogged down over how it was implemented. Here's how I implemented it: A "sparse" array contains values indexed by integers, and efficiently permits missing values. Each element in the array is a sub-array containing the index of the first value followed by one or more values. For example: [[8 v8 v9 v10] [14 v14 v15] [37 v37]] is a sparse array containing values at index 8, 9, 10, 14, 15 and 37. The sparseget procedure retrieves an element from a sparse array. If the array contains a value at that index, the value and true is pushed on the stack, otherwise false is pushed. I compared normal versus packed arrays and found that packing saved negligible space while substantially increasing access time, so sparse arrays are not packed. In terms of performance versus a dictionary (for UnicodeEncoding map) accessing a sparse array takes around 5 times longer, which sounds awful but (on my computer) that's sub-1ns access versus 4ns, so I don't think the speed is an issue. One inexplicable result is that the sparse array generated from the built-in AdobeGlyphList (Ghostscript 9.50 on Ubuntu 20.04 with Intel i7-1165G7 @ 2.80Mhz) takes 25 times as long as the equivalent dictionary. I don't understand why so much slower compared with maps from fonts. Clutching at straws, I initially thought it might be because AdobeGlyphList is built-in and maps from (non-builtin) fonts aren't, but that can't be the case. For benchmarks, I load the dictionary and sparse arrays from external files so, although derived from the built-in dictionary, they are unlikely to be stored in common. I also tried changing the names (added "xx" to them) and the result stands. It's a mystery to me. I'm inclined to go for space over speed but am willing to listen to reason if people feel strongly that speed is more important.
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