ENERGYPLUS 10X LBNL: TIANZHEN HONG, PHD; XUAN LUO ORNL: MARK ADAMS , ENERGY.GOV
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EnergyPlus 10X
LBNL: Tianzhen Hong, PhD; Xuan Luo
ORNL: Mark Adams
thong@lbl.gov , adamsmb@ornl.gov
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 1
Project Summary
Timeline : Key Partners :
St a rt d a t e : 10 /1/2 0 18
P la nne d e nd d a t e : 9 /3 0 /2 0 2 1
Key Milestones :
1. Ene rg yP lus 9 .4 , 9 /3 0 /2 0 2 0 GARD Analytics
2 . Ene rg yP lus 9 .5 , 4 /3 0 /2 0 2 1
3 . Ene rg yP lus 9 .6 , 9 /3 0 /2 0 2 1
Budget : Project Outcome :
This proje ct a pplie d a n int e g ra t e d s e t of com put ing
Total Project $ to Date : t e chnique s t o im prove runt im e pe rform a nce of Ene rg yP lus .
Re s ult s s how runt im e re duct ions ra ng e from 3 .2 % t o 9 3 %
• DOE: $ 1.3 M (m e a n 23 %) wit h t he s am e s e t t ing s be t we e n Ene rg yP lus 9 .6
• Co s t Sha re : N/A a nd 9 .0 . If running a t a hig h s pe e d m ode wit h s om e a ccura cy
t ra de offs , t he re duct ions ra ng e from 2 0 % t o 9 8 % (m e a n
Total Project $: 8 3 %). Such s pe e d im prove m e nt s e na ble Ene rg yP lus for
la rg e s ca le s im ula t ions a nd incre as e us e r product ivit y.
• DOE: $ 1.6 M Cha ng e s t o t he da t a s t ruct ure , a lg orit hm s , a nd code a ls o
• Co s t Sha re : N/A im prove Ene rg yP lus cont inuous de ve lopm e nt a nd
m a int e na nce .
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 2
Team - A diverse project team spans expertise in building science,
EnergyPlus, and computer science
Tianzhen Hong Xuan Luo Wanni Zhang Mark Adams Jason DeGraw
Senior Scientist EnergyPlus Developer Programmer EnergyPlus Developer EnergyPlus Developer
PI, LBNL LBNL LBNL PI, ORNL ORNL
Edwin Lee Mike Witte Jason Glazer Lixing Gu Joshua New
EnergyPlus Developer, EnergyPlus Developer, EnergyPlus Developer, EnergyPlus Developer Computer Scientist
NREL GARD Analytics GARD Analytics FSEC ORNL
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 3
Challenge Com p a re d wit h o t he r c o m m o nly us e d b uild ing e ne rg y m ode ling pro g ra m s , Ene rg yP lus runs s lo we r b y a n o rde r of m a g nit ud e . This hind e rs Ene rg yP lus fo r us e c a s e s t ha t ne e d m a ny s im ula t ions . Ene rg yP lus c o d e b a s e is b ig a nd c o m p le x: t ra ns la t e d from FORTRAN t o C in 2 0 14 (ve rs io n 8 .2 ), a b o ut 1M line s of c ode writ t e n b y m a ny d e ve lo p e rs a c ro s s 2 5 ye a rs . P a s t e ffort s fo c us o n ne w fe a t ure d e ve lo p m e nt s t o m ode l t e c hno lo g ie s , s ys t e m s a nd c o nt ro ls , ra t he r t ha n runt im e p e rfo rm a nc e . U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 4
Approaches
This proje ct e m ploys a n int e g ra t e d a pproa ch t o s ig nifica nt ly im prove Ene rg yP lus ’ a nnua l
s im ula t ion run-t im e pe rform a nce from t he ba s e line Ene rg yP lus 9 .0 . The a pproa che s include but
a re not re s t rict e d t o:
1. Baseline : De ve lop a s uit e of m ode ls cove ring dive rs e us e ca s e s a nd com ple xit y, a nd
e s t a blis h a n ove ra ll b a s e line run t im e of t he s uit e t ha t t he p ro je c t e d im prove m e nt will be
ba s e d on.
2. Analysis : P rofile m ode ls t o ide nt ify pe rform a nce hot s pot s , a nd us e corre la t ion t e chnique s
t o ide nt ify proble m a t ic com pone nt m ode ls or s t ruct ure s .
3. Refactoring : Enha nce code in m a jor rout ine s of s urfa ce a nd zone he a t ba la nce , t he pla nt
com pone nt s a nd loops , t he ne s t e d HVAC s im ula t ions , t he ca lcula t ions of CTF, s ola r a nd
window he a t t ra ns fe r us ing ne w da t a s t ruct ure s , im prove d a lg orit hm s , a nd opt im ize d
conve rg e nce crit e ria .
4. Threading : Te s t t a s k pa ra lle lis m t o t a ke a dva nt a g e of m ult i-core proce s s ors us ing Ope nMP
5. GPU: P a ra lle l com put ing for s ola r s ha ding ca lcula t ions
6. Speed up workflow : Ca che int e rm e dia t e re s ult s (e .g ., CTF, s ola r s ha ding ) a nd re us e t he m
be t we e n s im ula t ions .
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 5
63 Models for Performance Benchmark
● 16 DOE Re fe re nc e Building m ode ls 20 Hot Spots of the Benchmark Models in
EnergyPlus 9.0
o Chic a g o c lim a t e , ASHRAE 9 0 .1-2 0 0 4 , a nnua l
run, 10 -m inut e t im e s t e p, a s -is re port ing Functions Percentage CPU Functions Percentage CPU
time over time over
● 16 la rg e m ode ls benchmark suite benchmark suite
o La rg e s c a le building wit h ra dia nt unde rfloor SolarShading::CLIPP
he a t ing __pow 4.582 OLY 1.852
CalcHeatBalanceInside
o Na t ura l ve nt ila t ion wit h a irflow ne t work Surf 4.020 CalcZoneSums 0.437
CalcInteriorRadExchan
o 12 la rg e m ode ls wit h m a ny zone s or s urfa c e s ge 3.772 PsyTsatFnHPb 0.683
o 2 re s ide nt ia l building s Psychrometrics::cache
d_psat_t 2.561 PierceSurface 1.597
UpdateThermalHistorie ReportSurfaceHeatBa
● 3 1 dia g nos t ic s m ode ls s 1.919 ance 0.407
○ From s hoe box no HVAC t o c om ple x InitSolarHeatGains 1.505 InitIntSolarDistribution 0.335
g e om e t ry a nd HVAC s ys t e m s CalcInteriorSolarDistri
__GI___exp 1.283 bution 0.379
○ From no s ha ding t o lot s of s ha ding
○ From no window t o m a ny windows InitSurfaceHeatBalance 0.692 __ieee754_log_fma 0.316
CalcHeatBalanceOuts
○ From 5 zone s t o 5 0 0 zone s __memset_avx2_erms 0.623 ideSurf 0.379
SetZoneEquipSimOrd
UpdateDataandReport 0.471 er 0.279
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 6
Algorithms - Caching & Optimization of Utility Functions
➢ Caching of utility functions
● Subroutine functionality:
○ P s yTs a t FnP b(pb) - Ca lc ula t e t he s a t ura t ion t e m pe ra t ure from ba rom e t ric pre s s ure
○ P s yTs a t FnHP b(h, pb) - Ca lc ula t e t he s a t ura t ion t e m pe ra t ure from t he e nt ha lpy a nd
ba rom e t ric pre s s ure .
○ Ge t Spe c ific He a t Glyc ol (T, Glyc olInde x) - Ca lc ula t e t he Glyc ol s pe c ific he a t by
int e rpola t ion
● Performance:
○ Ea c h c a c hing im ple m e nt a t ion a c hie ve d a n a ve ra g e of 1-3 % s pe e d up of t he t ot a l run
t im e of a ll 6 2 3 Ene rg yP lus rout ine t e s t file s
➢ Cubic interpolation of psychrometric functions
● P s yTs a t FnP b(pb) - Up t o 10 % s pe e d up t o s e le c t e d t e s t file s
● A ne w pe rform a nc e pre c is ion t ra de off opt ion in Ene rg yP lus 9 .6 re le a s e
* Psychrometric functions: compute properties of moist air from other properties
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 7
Algorithms - Optimized Subroutines
➢ Polygon clipping for shadow calculation
● Methods: Us e Liang -Barsky a lg orit hm for c lipping re c t a ng ula r polyg ons
● Performance gain:
– 1.5 X s pe e d up for t he s ubrout ine it s e lf
– 6 % s pe e d up for Hos pit a lLowEne rg y.idf, a s ha ding c a lc ula t ion int e ns ive t e s t file
➢ Direct solution to get part load ratio (PLR) of coils
● Method: Us e line a r re la t ions hip be t we e n pa rt loa d ra t io a nd s ys t e m /c oil out put wit h
g ive n inle t c ondit ions .
● Performance : 2 x s pe e d is a c hie ve d for c oil s ubrout ine
➢ Speedier schedule manager
● Method: m ore e ffic ie nt ly ope n a nd pa rs e e xt e rna l
s c he dule file da t a , re duc ing runt im e in proport ion
t o t he num be r of c olum ns of da t a in a file
● Performance : 9 2 % run t im e s a ving on Ma c for a
s c he dule im port ing t e s t file
For a file wit h ~10 0 colum ns of da t a t he
runt im e is cut in ha lf.
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 8
Logic - Make the Common Case Faster
➢ Zone surface grouping and reordering
● Surfa c e s a re g roupe d by zone
● W it hin e a c h zone opa que s urfa c e s a re g roupe d s e pa ra t e ly from window s urfa c e s
● Ma in loops e xe c ut e d by zone a nd t he n by s urfa c e
● The s e a llow -
■ He a t ba la nc e loops t o ope ra t e on a c ont inuous s e t of s urfa c e s wit hout if
c ondit ions wit hin t he loops
■ Fut ure pa ra lle liza t ion by zone
Zo ne 1 Zo ne 2
He a t
Ba la nc e Airwall Opaque Window Other Airwall Opaque Window Other
Arra ys
idx = W inS urfa c e Firs t idx = W inS urfa c e Las t idx = He a t Tra ns fe rFirs t idx = He a t Tra ns fe rLas t
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 9
Logic - Make the Common Case Faster
➢ Inside surface heat balance
● Two funct ions , one for s im ple Conduct ion Tra ns fe r Funct ion (CTF) - only
s im ula t ions a nd a not he r for m ore com ple x s im ula t ions
● Elim ina t e if condit ions wit hin t he loops
➢ Move uncommon conditional calculations ✓ Allows e a s ie r bra nch
out of the main loop pre dict ion a nd ve ct oriza t ion,
● Tubula r da ylig ht ing de vice a nd be t t e r ca che
● Mova ble ins ula t ion for opa que s urfa ce s pe rform a nce for com pile rs
● Mova ble s la t s for wind ow blinds
● St orm windows
● Source or s ink s urfa ce
For e a c h s urfa c e : For e a c h s urfa c e : Do s t uff B
If s t orm window: Do s t uff A If a ny s t orm window e xis t s :
Els e : Do s t uff B For e a c h s t orm window: Do s t uff A
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 10Data Structure - Heat Balance Array Refactoring
➢ Array of objects to array of scalars
● Conve rt la rg e obje c t a rra ys (e .g . Surfa c e W indow wit h 2 0 0 + fie lds a nd Surfa c e wit h 10 0 + fie lds ) t o
a rra ys of s c a la rs for c a c he loc a lit y a nd fut ure ve c t oriza t ion
➢ Efficient initialization of data structure
● Re m ove t hird-pa rt y init ia liza t ion func t ion c a lls for ve c t oriza t ion
● Loop-wis e init ia liza t ion wit h s m a ll loops t o m a ke t he m a xim um us e of ve c t or re g is t e rs
● Re duc e re -init ia liza t ions (e .g . unne c e s s a ry s ola r a rra ys re s e t whe n s un is down a t e a c h t im e s t e p)
➢ Optimized multi -dimensional arrays
● Re orde r m ult i-dim e ns iona l a rra ys t o loop e xe cut ion orde r for ca che loca lit y
● Re duce a rra y s licing a nd re cons t ruct ion (2 D a rra y -> a rra y of a rra y)
● Re duce dim e ns ion of a rra ys
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 11GPU Accelerate Solar Shading
➢ Performance improvements:
● Up t o 10 -14 x im prove m e nt
● Sc a le s wit h num be r of s ha ding
s urfa c e s
➢ Penumbra:
● Ope n-s ourc e libra ry for GP U
s ola r s ha ding
● Ope nGL 2 .1 (c ros s pla t form ,
wide ly s upport )
➢ Benefits:
● Ena ble s m ode ling of la rg e
building s wit h m a ny s ha ding
s urfa c e s
● Sc a le s wit h GP U powe r
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 12Profiling Guided Performance Improvements
➢ CarrolMRT:
● Alt e rna t e int e rior ra dia nt he a t e xc ha ng e m ode l
● O(n) vs O(n^2 ) a lg orit hm
● Up t o 9 5 % runt im e re duc t ion (s c a le s wit h num be r
of int e rior s urfa c e s in a zone )
➢ Native C++ CSV output / conditional output:
● Alt e rna t ive t o Re a dVa rs ESO
● 2 5 -8 2 +% runt im e re duc t ion, s c a ling on num be r of
out put s
● Condit iona lly t urn on/off out put file s
■ Up t o 4 2 % runt im e re duc t ion
➢ Function approximation:
● Min/m a x a nd s om e pow func t ions t o us e ne w, fa s t e r a pproxim a t ions
● Up t o 13 % runt im e re duc t ion, a ve ra g e 4 %
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 13Runtime: EnergyPlus 9.6 (Sep21) vs. 9.0 (Sep18)
Machine: Intel Xeon W-2123 CPU @ 3.60GHz, Ubuntu 18.04.2 LTS
Models: 63 EnergyPlus IDFs
Runtime Decrease Histogram
Same default settings: 9.6 vs 9.0
Number of Models
Runtime Decrease (%)
Mean: 23%, median: 20%, min: 3.2%, max: 93%Parallelization - OpenMP
➢ Applied OpenMP parallel in major heat balance code blocks
● Ma jor funct iona lit ie s :
■ Init s urfa c e he a t ba la nc e (ra dia nt e xc ha ng e , c onve c t ive c oe ffic ie nt s , e t c .)
■ Ca lc ula t e ins ide a nd out s ide s urfa c e t e m pe ra t ure s
■ Upda t e t he rm a l his t orie s a nd re port ing
● Ge ne ra t e ide nt ica l re s ult s wit h s ing le t hre a d
# Threads 2 4 8
10x_incr_100Zones100Surfaces 1.4x 1.7x -
(4-CPU desktop)
10x_incr_100Zones100Surfaces 1.5x 1.9x 2.1x
(24-CPU cluster)
10x_large_82zones_ASHRAE_HQ 1.6x 1.8x 2.2x
(24-CPU cluster)
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 15Runtime: Parallelization with OpenMP
9.6 with OpenMP: 8 vs 1 CPU for 6 “large” (> 20 surfaces/zone) models
Runtime Decrease Histogram
Number of Models
Runtime Decrease (%)
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 16Performance Precision Tradeoffs
➢ Successive modes to
trade speed for precision:
● Us e e xis t ing s im ula t ion
pa ra m e t e rs
● Expos e e xis t ing int e rna l
c onve rg e nc e va ria ble s t o
t he us e r
● Ne w opt im iza t ions
➢ The s im ula t ion t im e c a n be dra m a t ic a lly re duc e d
➢ Im pa c t s s im ula t ion re s ult s
➢ “_pe rflog .c s v” file provide s us e r t he im pa c t of c ha ng ing m ode s on a nnua l e ne rg y, runt im e ,
wa rning s , a nd t e m pe ra t ure os c illa t ions
➢ Ot he r s e t t ing s : Us e Co il Dire c t So lut io ns (Y/N), Zo ne Ra d ia nt Exc ha ng e Alg o rit hm (Sc rip t F, Ca rro llMRT)
➢ Addit iona l m ode s in Ene rg yP lus 9 .6 (e .g . P s yc hrom e t ric )
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 17Runtime: Speed Mode4 + CarrollMRT
Runtime Decrease Histogram Total Site Energy Variance Histogram
Number of Models
Runtime Decrease (%) Total Site Energy Variance (%)
Mean: 76%, min: 20%, median: 78%, max: 98%Runtime: Speed Mode7 + CarrollMRT
Runtime Decrease Histogram Total Site Energy Variance Histogram
Runtime Decrease (%) Total Site Energy Variance (%)
Mean: 83%, min: 21%, median: 88%, max: 98%Performance Precision Tradeoff Characterization ➢ P e rfo rm a nce P re cis io n t ra d e o ffs int ro d uce va ria nce in re s ult s which ca n b e la rg e ➢ Five m o d e ls s ho w e s p e cia lly hig h va ria nce ➢ Fut ure wo rk: und e rs t a nd which m o d e ling fe a t ure s le a d t o hig h va ria nce a nd p ro vid e g uid a nce o n whe n P re cis io n-P e rfo rm a nce Tra d e o ffs a re s a fe t o us e
Impacts ● The 3 -ye a r p ro je c t a p p lie d a n int e g ra t e d s e t o f c o m p ut ing t e c hnique s t o re duc e runt im e o f Ene rg yP lus . P e rform a nc e im prove m e nt s we re inc lude d in Ene rg yP lus re le a s e s . ● Com pa re d t he runt im e s o f 6 3 be nc hm a rk m ode ls be t we e n Ene rg yP lus 9 .0 a nd 9 .6 , runt im e re d uc t io ns ra ng e fro m 3 % t o 9 3 % (i.e ., 1X t o 14 X, m e dia n 1.2 5 X) wit h d e fa ult s e t t ing s , a nd fro m 2 0 % t o 9 8 % (i.e ., 1.3 X t o 5 0 X, m e dia n 7 .7 X) in a hig h s p e e d m o d e wit h s o m e a c c ura c y t ra d e o ffs (e xc luding Ope nMP ). ● Re d uc ing runt im e o f c o m p le x Ene rg yP lus s im ula t io n m ode ls im prove s us e r pro duc t ivit y a nd s up p o rt s q uic k d e c is io n m a king (e .g ., d e s ig n c ha rre t t e ). U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 21
Stakeholder Engagement and Outreach
• Annua l s t a ke hold e r b rie fing
• Biwe e kly m e e t ing s t o provid e t im e ly
fe e d b a c k
• A ha c ka t hon s e s s ion wit h NERSC on Ope nMP
• Eng a g e d t he b roa d e r Ene rg yP lus
d e ve lopm e nt t e a m a nd c om m unit y
• P re s e nt a t ion a t ASHRAE BP A Confe re nc e ,
Se pt e m b e r 2 5 , 2 0 19
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 22Remaining Project Work
● Cont rib ut e t o t he Ene rg yP lus 9 .6 re le a s e
● Re -run fina l pe rform a nc e b e nc hm a rk wit h t he offic ia l Ene rg yP lus 9 .6
● P roje c t wra p up m e e t ing wit h s t a ke hold e rs
● Aft e r t he proje c t , c ont inue t he pe rform a nc e work a s pa rt of t he
Ene rg yP lus c ore proje c t in a re a s , e .g .:
○ Re fa c t o r d a t a s t ruc t ure a nd c o d e
○ Ve c t o riza t io n a nd p a ra lle liza t io n
○ Re d uc e unne c e s s a ry c a lls
○ Op t im ize lo o p ing a nd it e ra t io ns
○ Ca lc ula t e o ut p ut va ria b le s o nly whe n re q uire d
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 23Tha nk Yo u
LBNL a nd ORNL
Tia nzhe n Hong a nd Ma rk Ada m s
thong@lbl.gov , adamsmb@ornl.gov
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 24REFERENCE SLIDES U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 25
Project Budget
Project Budget : $ 1.6 M
Variances : N/A
Cost to Date : $ 1.3 M
Additional Funding : N/A
Budget History
FY 2019 FY 2020 FY 2021
(past) (past) (current)
DOE Cost-share DOE Cost-share DOE Cost-share
$50 0 k N/A $50 0 k N/A $6 0 0 k N/A
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 26Project Plan and Schedule U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 27
Logic - Remove Redundant Subroutines
➢ Skip unnecessary interzone window calculation
• Methods:
– Skip c a lc ula t ing t he diffus e s ola r e xc ha ng e fa c t ors be t we e n
zone s if no int e rzone window e xis t s
• Performance gain:
– Re duc e d 6 +% t ot a l E+ run t im e in la rg e m ode ls (5 0 0 zone s a nd
up) in c a lc ula t ing t he int e rzone s ola r e xc ha ng e fa c t or m a t rix
➢ Reduce run time solar and thermal absorptance calculation
• Methods:
– Re duc e unne c e s s a ry loop it e ra t ions t o c a lc ula t e s ola r a nd
t he rm a l a bs orpt a nc e fa c t ors a t e a c h t im e s t e p by pre -c he c king
if a ny s ha ding or g la zing s t a t us c ha ng e
• Performance gain:
– Re duc e d 9 0 +% func t ion c a lls a nd run t im e of s ubrout ine it s e lf
U.S. DEP ARTMENT OF ENERGY OFFICE OF ENERGY EFFICIENCY & RENEW ABLE ENERGY 28Runtime benchmarking 9.6 vs. 9.0
All default settings (Machine: Intel Xeon W-2123 CPU @ 3.60GHz, Ubuntu 18.04.2 LTS)
Models with largest runtime
decrease:
count 63
mean 23.113265
min 3.245094
median 20.465755
max 93.003413Runtime benchmarking 9.6 vs. 9.0
Version 9.6 with fast mode 04 and radiant exchange algorithm CarrollMRT
Models with largest runtime
decrease:
count 63
mean 75.602455
min 20.079103
median 77.948718
max 97.884805Runtime benchmarking 9.6 vs. 9.0
Version 9.6 with fast mode 07 and radiant exchange algorithm CarrollMRT
Models with largest runtime
decrease:
count 63
mean 82.878219
min 20.378319
median 86.796048
max 98.241773Runtime benchmarking 9.6 vs. 9.0
Version 9.6 with fast mode 07 and radiant exchange algorithm CarrollMRT + OpenMP 4 threads
Models with largest runtime
decrease:
count 63
mean 83.286181
min 20.650021
median 88.107236
max 98.3556509.6: OpenMP 8 threads vs. w/o OpenMP count 21 count 6 mean 8.1% mean 42.8% min -8.4% min 5.7% meidan -0.4% median 47.9% max 66.0% max 66.0%
9.6 fast mode 07: w/ OpenMP vs. w/o OpenMP
Models with runtime increase:
count 63
mean 4.186573
min -
24.137931
median 3.316062
max Models with largest runtime
30.15974 decrease:
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