Gambit-list Mars 2016

gambit-list@iro.umontreal.ca

6 participants
10 discussions

Gambit versus Python+GMP: Timing for Chudnovskys' algorithm for pi
by Bradley Lucier 07 Avr '22

07 Avr '22

Bakul Shah wrote a particularly elegant Scheme program for Chudnovskys' algorithm for pi based on the Common Lisp program here: https://bitbucket.org/tarballs_are_good/numericl/src/5fe8fe7089f48ab1c8a388… Nick Craig-Wood wrote a Python program using the GMP multiprecision library that appears to use exactly the same algorithm here: http://www.craig-wood.com/nick/articles/pi-chudnovsky/ I modified both programs a bit and include them here. They time the calculation of $10^n$ digits of pi for $n=1,2,3,4,5,6,7$. The results are heine:~/programs/gambiteer/gambit> !py python pi_chudnovsky_bs_gmpy.py 31415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679 ('chudnovsky_gmpy_mpz_bs: digits', 10, 'time', 1.0967254638671875e-05) ('chudnovsky_gmpy_mpz_bs: digits', 100, 'time', 3.0040740966796875e-05) Last 5 digits 70679 OK ('chudnovsky_gmpy_mpz_bs: digits', 1000, 'time', 0.00025582313537597656) Last 5 digits 01989 OK ('chudnovsky_gmpy_mpz_bs: digits', 10000, 'time', 0.00386810302734375) Last 5 digits 75678 OK ('chudnovsky_gmpy_mpz_bs: digits', 100000, 'time', 0.0834801197052002) Last 5 digits 24646 OK ('chudnovsky_gmpy_mpz_bs: digits', 1000000, 'time', 1.655979871749878) Last 5 digits 58151 OK ('chudnovsky_gmpy_mpz_bs: digits', 10000000, 'time', 30.67442488670349) Last 5 digits 55897 OK heine:~/programs/gambiteer/gambit> gsi chud1.scm Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 10, CPU time: 0.. Last 5 digits 26535. Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 100, CPU time: 0.. Last 5 digits 70679. Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 1000, CPU time: .004. Last 5 digits 1989. Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 10000, CPU time: .028. Last 5 digits 75678. Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 100000, CPU time: .472. Last 5 digits 24646. Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 1000000, CPU time: 6.448. Last 5 digits 58151. Chudnovsky's algorithm using binary splitting in Gambit Scheme: digits 10000000, CPU time: 98.612. Last 5 digits 55897. So it appears that for this algorithm applied to large integers, GMP's bignum routines are about 3-4 times as fast as Gambit's bignum routines. Not so bad. For smaller bignums, GMP has a bigger advantage. The C program gmp-chudnovsky.c includes certain optimizations to this basic algorithm: http://gmplib.org/pi-with-gmp.html ftp://ftp.gmplib.org/pub/misc/gmp-chudnovsky.c On my machine, compiled with gcc -O3 -march=native -o gmp-chudnovsky gmp-chudnovsky.c -lgmp -lm the CPU times for 1,000,000 and 10,000,000 digits are 1.064 and 18.200 seconds, respectively. This is with a somewhat older machine model name : Intel(R) Core(TM)2 Quad CPU Q8200 @ 2.33GHz running Ubuntu 13.04 with heine:~/programs/gambiteer/gambit> gcc -v Using built-in specs. COLLECT_GCC=gcc COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/4.7/lto-wrapper Target: x86_64-linux-gnu Configured with: ../src/configure -v --with-pkgversion='Ubuntu/Linaro 4.7.3-1ubuntu1' --with-bugurl=file:///usr/share/doc/gcc-4.7/README.Bugs --enable-languages=c,c++,go,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-4.7 --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --with-gxx-include-dir=/usr/include/c++/4.7 --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-gnu-unique-object --enable-plugin --with-system-zlib --enable-objc-gc --with-cloog --enable-cloog-backend=ppl --disable-cloog-version-check --disable-ppl-version-check --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu Thread model: posix gcc version 4.7.3 (Ubuntu/Linaro 4.7.3-1ubuntu1) heine:~/programs/gambiteer/gambit> gsi -v v4.6.9 20130607151908 x86_64-unknown-linux-gnu "./configure '--enable-single-host' '--enable-multiple-versions' '--enable-shared'" and the Ubuntu-provided GMP 5.0.5. (I'm sure the GMP folks have a better way to build GMP on my machine than the "generic" 64-bit version provided by Ubuntu.) Brad

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Re: [gambit-list] JavaScript backend
by Marc Feeley 13 Fév '17

13 Fév '17

First of all, this change is for the universal backend. It is more of a temporary kludge to experiment with dynamically loading files generated by the universal backend. Here’s how it works… At the end of the link file, the Gambit linker generates a table of the Scheme modules required by the program. The table is passed as a parameter to the g_module_registry_init function of the Gambit runtime system. For example, the link command: gsc -link -l lib/_gambit.js a.js b.js will generate at the end of the link file “b_.js”: g_module_registry_init([new G_ModLinkInfo("_gambit",0), new G_ModLinkInfo("a",1), new G_ModLinkInfo("b",2)]); At then end of a file generated for the compilation of a module there is a call to a runtime system function that registers the module in the module registry. For example, when “a.scm” is compiled with the command “gsc -target js -c a.scm”, the file “a.js” generated ends with: g_module_register([g_make_interned_symbol("a"),g_bb1__20_a,1,null,false]); The parameter of g_module_register is a “module descriptor” giving information on the module: name, main function (g_bb1__20_a), preload flag (1), module meta information (null), and a dummy field (false) that is only interesting for the C backend. So when the files of generated code are loaded (incrementally) by the JS VM, g_module_register accumulates the modules in a table. When all the modules required by the program have beed loaded (in the example, _gambit, a and b) the function g_module_register will call the main function of the first module. This will run the Scheme code at the toplevel of the first module. The first module contains a loop, in Scheme, that iterates over the module registry and calls the main function of each of the remaining modules in the registry (this information is available in Scheme in the global variable ##program-descr). Specifically, the first module is the Gambit universal library (lib/_univlib.scm), which ends with a call to ##load-vm (a procedure defined in lib/_kernel.scm that runs each module other than the first). What my most recent change does is extend g_module_register so that any subsequent module that is loaded by the JS VM causes its immediate execution by calling the module's main function. In the C backend the mechanism is slightly different (and more flexible): the ##load-object-file procedure of the Gambit runtime library constructs a vector of module descriptors and this vector is passed to ##register-module-descrs-and-load! (defined in lib/_kernel.scm) which then runs the modules. It is more flexible because the loaded object file can contain more than one module, and also control goes through Scheme before the module is executed. Marc > On Jan 3, 2016, at 2:54 AM, Adam <adam.mlmb(a)gmail.com> wrote: > > Marc, > > Wait, what's the point? > > That is effectively C modules' default behavior isn't it? (even if it's the runtime or linker-generated code that actually does the actual run command.) > > So this way you create symmetrical behavior but the actual run command is in the module file itself rather than in runtime/linker - > > Is there any disadvantage.. could be, no, like, I need more modules loaded at the same time and with this model you introduced now, the global namespace in JS files is evaluated at load time so could cause a problem? > > > 2016-01-03 14:10 GMT+08:00 Marc Feeley <feeley(a)iro.umontreal.ca>: > I’ve just pushed a small change to the module registration method. Now, loading the generated .js file will run that file. > > Marc > > > On Jan 2, 2016, at 11:39 PM, Blake McBride <blake(a)mcbride.name> wrote: > > > > Yes, and I use jQuery get and html methods to load the html part. > > > > > > On Sat, Jan 2, 2016 at 8:43 PM, Marc Feeley <feeley(a)iro.umontreal.ca> wrote: > > That’s an interesting app! > > > > As I said, it shouldn’t be hard to do. In your app, how do you load new JS code? Are you using jQuery and the getScript method? > > > > Marc > > > > > On Jan 2, 2016, at 8:42 PM, Blake McBride <blake(a)mcbride.name> wrote: > > > > > > Hi Marc, > > > > > > Thanks for the reply. > > > > > > I started development of a Web based business application in 2006. The app is in production use. The front-end is about 450 screens written in Flash. The back-end is written in Java (over 9,000 classes) on top of an SQL database with 250 tables accessed through Hibernate. The front-end and back-end communicate through SOAP web services. > > > > > > Since Flash is now dead, I need to re-write at least parts of the front-end in JS to support tablets and phones at least. I have front-end JS code that communicates with the back-end SOAP Web services so I theoretically wouldn't need to touch the back-end. > > > > > > I have a preference to utilize scheme if I can, but the back-end is already written and works. It doesn't make sense to mess with it given the investment. > > > > > > The problems I had with Gambit (as well as many other systems) is as follows: > > > > > > Once a user logs in, my app has a consistent visual / UI framework. Beyond this framework, there are 450 different screens that appear within the framework (like in one of the div's). > > > > > > A. I cannot load all 450 screen at system startup. I must lazy load them as they are called up. > > > > > > B. The initial UI framework code should contain all of the Gambit machinery and libraries so that each of the 450 screens can be small, light-weight, compiled separately yet have full access to the entire Gambit facility. > > > > > > With respect, my investigation into Gambit as a possible solution in the past led me to the conclusions at that time it was not possible to produce separately compiled modules that leveraged off of a single main module for the Gambit machinery and libraries. > > > > > > I suppose some time has passed and I wanted to see if the situation has changed. I can only use Gambit if: > > > > > > 1. I can compile and load each screen separately > > > > > > 2. I only have to have one copy of the Gambit machinery and library so that the separate screens are small. > > > > > > Thank you. > > > > > > Blake > > > > > > > > > On Sat, Jan 2, 2016 at 7:06 PM, Marc Feeley <feeley(a)iro.umontreal.ca> wrote: > > > asmjs is cool and Gambit has already been compiled to it thanks to emscripten (see “Gambit in the browser”: http://feeley.github.io/gambit-in-the-browser/). The performance is not bad, perhaps 10x to 20x slower than when Gambit is compiled by gcc to native code. The main problem is the size of the JS that is generated when compiling Gambit-C with emscripten to JS. The gsi interpreter yields roughly 10 MB of asmjs code. > > > > > > As far as code size is concerned, a better solution is to use Gambit's JS backend with the Gambit library. The code generated is roughly half the size when minimized (and it could be even less if some thought went into how identifiers are encoded). > > > > > > Even more savings can be had by doing away with the default Gambit library and writing a custom library specialized for the application. Gambit’s library has lots of functionality that is not normally needed by typical applications. For example, the predefined map procedure can handle an arbitrary number of list parameters. If the application only uses the single list version, then this definition would be sufficient: > > > > > > (define (map f lst) > > > (if (pair? lst) > > > (cons (f (car lst)) (map f (cdr lst))) > > > ‘())) > > > > > > That 4 line version is 1/20th the size of the map defined in the Gambit library (which handles multiple lists, has type checking, precise error messages, same list length checking and is safe for multithreading). > > > > > > So perhaps what’s needed for Gambit to be more successful for web dev is the creation of such a “slim” library for Gambit to replace the default feature-full library. Gambit’s “tree shaker” would also help to eliminate the unused procedures of the slim library (unfortunately this only works for “whole program” compilation, so separate compilation would only be used for the development phase). > > > > > > Anyway, if this interests you please let me know. > > > > > > Marc > > > > > > > On Jan 1, 2016, at 11:44 AM, Blake McBride <blake(a)mcbride.name> wrote: > > > > > > > > Just some opinions. > > > > > > > > asmjs.org defines a portable subset that allows JS platforms to compile into very fast code. Targeting that subset, and within their spec, is probably a good idea. > > > > > > > > JS has, and is becoming increasingly, a very, very important platform. With ajax and rest services, code increasingly independent from the back-end is being developed. So, in a very important sense, JS has become its own platform, just like X86, and X86_64, along with Linux, Windows, Mac, etc. > > > > > > > > Many apps consist of two major parts: the back-end processing, and the front-end human interface. While one can write the back-end processing in any of dozens of languages targeting X86 or a VM, and the OS, there is really only one target for the other half - the human interface - and that is JS. > > > > > > > > While many languages are now targeting the JS platform (I am using the word "platform" to mean X86, X86_64, either, plus the OS) including, believe it or not, Smalltalk, there are few that can, IMO, be used in a real world application for several reasons. But, these issues will likely be resolved soon. > > > > > > > > With respect, Gambit, at least in the past, was in many ways another toy solution - one with a functioning "Hello world" application but missing important features that make it usable in a real-world situation. I would love to be a part of that solution, but alas, life doesn't offer me that level of freedom. I am only capable of using a system that is reportedly working, reporting bugs, making small adjustments, and providing feedback. Regardless of my attitude, preferences, and intentions, I cannot provide more. > > > > > > > > Look at node (JS for the back-end) and its vastly increasing popularity. Since developers are being forced to use JS on the front-end, it's bleeding over to the back-end. I think solutions that take JS seriously at this stage will prosper greatly. > > > > > > > > Now, having said all that, I would love to see Gambit target JS as a high-priority, first-class target. If that were the case, I would be happy to contribute what I stated above. > > > > > > > > Thanks! > > > > > > > > Blake McBride > > > > > > > > _______________________________________________ > > > > Gambit-list mailing list > > > > Gambit-list(a)iro.umontreal.ca > > > > https://webmail.iro.umontreal.ca/mailman/listinfo/gambit-list > > > > > > > > > > > > _______________________________________________ > Gambit-list mailing list > Gambit-list(a)iro.umontreal.ca > https://webmail.iro.umontreal.ca/mailman/listinfo/gambit-list >

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Build times on Raspberry Pi 2 B
by Bradley Lucier 27 Mar '16

27 Mar '16

Here are some build times using the default compiler after a plain “./configure” on a Raspberry Pi 2 B. cutie-pi:~/programs/gambit> time make -j 3 from-scratch 5626.900u 111.090s 33:19.28 287.0% 0+0k 456+751584io 20pf+0w cutie-pi:~/programs/gambit> time make doc 125.540u 1.960s 2:12.44 96.2% 0+0k 31216+29640io 72pf+0w cutie-pi:~/programs/gambit> time make check 168.360u 6.900s 2:58.68 98.0% 0+0k 0+46320io 0pf+0w So, not so bad without --enable-single-host. Now I just need to remember to do this every once in a while. Perhaps someone with a new Pi3 could do the same experiment and report the results. Brad

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Gerbil-v0.5
by Dimitris Vyzovitis 23 Mar '16

23 Mar '16

Hi all, I have tagged a new release for Gerbil, making it to v0.5. This release brings a revamped build system with a faster initial build.sh time and a bunch of new (optionally built) ffi libraries. More detailed changes since v0.4: - Revamped build system - by default, build.sh builds a stage1 gerbil for faster build times - std/make now supports dependency graphs - std/build-config for optionally built libraries with foreign dependencies - std/build builds with depgraph and optional libraries - std/xml is now optionally built to avoid hard dependency on libxml2 - Optionally built libraries with foreign dependencies - std/text/yaml: YAML support with libyaml bindings - std/text/zlib: zlib support for compression/decompression - std/db/sqlite: sqlite3 database interface - std/db/dbi: generic database interface - bug fixes and small improvements As usual, the code is on Github: https://github.com/vyzo/gerbil -- vyzo

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[TFPIE 2016] 2nd call for papers
by Peter Achten 22 Mar '16

22 Mar '16

Trends in Functional Programming in Education (TFPIE 2016) 2nd Call for papers https://wiki.science.ru.nl/tfpie/TFPIE2016 The 5th International Workshop on Trends in Functional Programming in Education, TFPIE 2016, will be held on June 7, 2016 at the University of Maryland College Park in the USA. It is co-located with the Symposium on Trends in Functional Programming (TFP 2016) which takes place from June 8 - 10. *** Goal *** The goal of TFPIE is to gather researchers, teachers and professionals that use, or are interested in the use of, functional programming in education. TFPIE aims to be a venue where novel ideas, classroom-tested ideas and work-in-progress on the use of functional programming in education are discussed. The one-day workshop will foster a spirit of open discussion by having a review process for publication after the workshop. The program chair of TFPIE 2016 will screen submissions to ensure that all presentations are within scope and are of interest to participants. Potential presenters are invited to submit an extended abstract (4-6 pages) or a draft paper (up to 16 pages) in EPTCS style. The authors of accepted presentations will have their preprints and their slides made available on the workshop's website/wiki. Visitors to the TFPIE 2016 website/wiki will be able to add comments. This includes presenters who may respond to comments and questions as well as provide pointers to improvements and follow-up work. After the workshop, presenters will be invited to submit (a revised version of) their article for review. The PC will select the best articles for publication in the journal Electronic Proceedings in Theoretical Computer Science (EPTCS). Articles rejected for presentation and extended abstracts will not be formally reviewed by the PC. TFPIE workshops have previously been held in St Andrews, Scotland (2012), Provo Utah, USA (2013), Soesterberg, The Netherlands (2014), and Sophia-Antipolis, France (2015). *** Program Committee *** Stephen Chang at Northeastern University in Massachusetts, USA Marc Feeley at Université de Montréal in Québec, Canada Patricia Johann at Appalachian State University in North Carolina, USA Jay McCarthy at University of Massachusetts Lowell in Massachusetts, USA (Chair) Prabhakar Ragde at University of Waterloo in Ontario, Canada Brent Yorgey at Hendrix College in Arkansas, USA *** Submission Guidelines *** TFPIE 2016 welcomes submissions describing techniques used in the classroom, tools used in and/or developed for the classroom and any creative use of functional programming (FP) to aid education in or outside Computer Science. Topics of interest include, but are not limited to: - FP and beginning CS students - FP and Computational Thinking - FP and Artificial Intelligence - FP in Robotics - FP and Music - Advanced FP for undergraduates - Tools supporting learning FP - FP in graduate education - Engaging students in research using FP - FP in Programming Languages - FP in the high school curriculum - FP as a stepping stone to other CS topics - FP and Philosophy *** Best Lectures *** In addition to papers, we request "best lecture" presentations. What is your best lecture topic in an FP related course? Do you have a fun way to present FP concepts to novices or perhaps an especially interesting presentation of a difficult topic? In either case, please consider sharing it. Best lecture topics will be selected for presentation based on a short abstract describing the lecture and its interest to TFPIE attendees. *** Submission *** Papers and abstracts can be submitted via EasyChair at the following link: https://easychair.org/conferences/?conf=tfpie2016 It is expected at at least one author for each submitted paper will attend the workshop. *** Registration & Local Information *** Please see the TFP site for registration and local information: http://tfp2016.org/ *** Important Dates *** April 27, 2016: Submission deadline for draft TFPIE papers and abstracts May 3, 2016: Notification of acceptance for presentation May 13, 2016: Registration for TFP/TFPIE closes June 7, 2016: Presentations in Maryland, USA July 7, 2016: Full papers for EPTCS proceedings due. September 1, 2016: Notification of acceptance for proceedings September 22, 2016: Camera ready copy due for EPTCS Submission of an abstract implies no obligation to submit a full version; abstracts with no corresponding full versions by the full paper deadline will be considered as withdrawn.

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Configure options
by Vijay Mathew 10 Mar '16

10 Mar '16

Could someone please throw more light on these configure options: --enable-multiple-vms, --enable-multiple-threaded-vms, --enable-max-processors, --enable-thread-system What is the state of multi-processor support in gambit? Is there any sample code? I would also like to know why `poll` is not the default select method ( or why configure options `--enable-poll` is `NO` by default). Thanks, --Vijay

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LambdaNative: Scheme for Mobile, Desktop, and Embedded Cross-Platform Development
by Bradley Lucier 09 Mar '16

09 Mar '16

http://www.infoq.com/news/2016/03/lambdanative-cross-platform-dev This is an interview with Chris Peterson, the development team leader behind LambdaNative, a cross-platform development toolkit built on top of Gambit. Brad

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Building and linking to a static library
by Vijay Mathew 09 Mar '16

09 Mar '16

Hi, I use `gsc` (v4.7.1) to build a standalone application like this: $gsc -o myapp -exe ./core/*.scm myapp.scm Now I would like to compile all the scheme files in `core` as a static library (libcore.a) and use it in building other apps: $gsc -o yourapp -ld-options "-lcore" -exe yourapp.scm I tried to use the `-link -flat` options as described in the manual but ran into linker errors. Is there a simple way to achieve what I am trying to do? Thanks, --Vijay

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Gerbil-v0.4
by Dimitris Vyzovitis 09 Mar '16

09 Mar '16

Hi all, I have tagged a new release for Gerbil, making it to v0.4. Changes since v0.3: - std/web/rack: web application support with rack-style interface - std/net/fastcgi: fastcgi support - std/logger: basic logging support - std/actor: more casual syntax for defproto - prelude: struct-out export expander - bug fixes and small improvements As usual, the code is on Github: https://github.com/vyzo/gerbil -- vyzo

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[TFP 2016] 2nd call for papers
by Peter Achten 01 Mar '16

01 Mar '16

----------------------------- C A L L F O R P A P E R S ----------------------------- ======== TFP 2016 =========== 17th Symposium on Trends in Functional Programming June 8-10, 2016 University of Maryland, College Park Near Washington, DC http://tfp2016.org/ The symposium on Trends in Functional Programming (TFP) is an international forum for researchers with interests in all aspects of functional programming, taking a broad view of current and future trends in the area. It aspires to be a lively environment for presenting the latest research results, and other contributions (see below). Authors of draft papers will be invited to submit revised papers based on the feedback receive at the symposium. A post-symposium refereeing process will then select a subset of these articles for formal publication. TFP 2016 will be the main event of a pair of functional programming events. TFP 2016 will be accompanied by the International Workshop on Trends in Functional Programming in Education (TFPIE), which will take place on June 7nd. == INVITED SPEAKERS == TFP 2016 is pleased to announce keynote talks by the following two invited speakers: * Ronald Garcia, University of British Columbia * Steve Zdancewic, University of Pennsylvania == HISTORY == The TFP symposium is the heir of the successful series of Scottish Functional Programming Workshops. Previous TFP symposia were held in * Edinburgh (Scotland) in 2003; * Munich (Germany) in 2004; * Tallinn (Estonia) in 2005; * Nottingham (UK) in 2006; * New York (USA) in 2007; * Nijmegen (The Netherlands) in 2008; * Komarno (Slovakia) in 2009; * Oklahoma (USA) in 2010; * Madrid (Spain) in 2011; * St. Andrews (UK) in 2012; * Provo (Utah, USA) in 2013; * Soesterberg (The Netherlands) in 2014; * and Inria Sophia-Antipolis (France) in 2015. For further general information about TFP please see the TFP homepage. (http://www.tifp.org/). == SCOPE == The symposium recognizes that new trends may arise through various routes. As part of the Symposium's focus on trends we therefore identify the following five article categories. High-quality articles are solicited in any of these categories: Research Articles: leading-edge, previously unpublished research work Position Articles: on what new trends should or should not be Project Articles: descriptions of recently started new projects Evaluation Articles: what lessons can be drawn from a finished project Overview Articles: summarizing work with respect to a trendy subject Articles must be original and not simultaneously submitted for publication to any other forum. They may consider any aspect of functional programming: theoretical, implementation-oriented, or experience-oriented. Applications of functional programming techniques to other languages are also within the scope of the symposium. Topics suitable for the symposium include, but are not limited to: Functional programming and multicore/manycore computing Functional programming in the cloud High performance functional computing Extra-functional (behavioural) properties of functional programs Dependently typed functional programming Validation and verification of functional programs Debugging and profiling for functional languages Functional programming in different application areas: security, mobility, telecommunications applications, embedded systems, global computing, grids, etc. Interoperability with imperative programming languages Novel memory management techniques Program analysis and transformation techniques Empirical performance studies Abstract/virtual machines and compilers for functional languages (Embedded) domain specific languages New implementation strategies Any new emerging trend in the functional programming area If you are in doubt on whether your article is within the scope of TFP, please contact the TFP 2016 program chair, David Van Horn. == BEST PAPER AWARDS == To reward excellent contributions, TFP awards a prize for the best paper accepted for the formal proceedings. TFP traditionally pays special attention to research students, acknowledging that students are almost by definition part of new subject trends. A student paper is one for which the authors state that the paper is mainly the work of students, the students are listed as first authors, and a student would present the paper. A prize for the best student paper is awarded each year. In both cases, it is the PC of TFP that awards the prize. In case the best paper happens to be a student paper, that paper will then receive both prizes. == SPONSORS == TFP is financially supported by CyberPoint, Galois, Trail of Bits, and the University of Maryland Computer Science Department. == PAPER SUBMISSIONS == Acceptance of articles for presentation at the symposium is based on a lightweight peer review process of extended abstracts (4 to 10 pages in length) or full papers (20 pages). The submission must clearly indicate which category it belongs to: research, position, project, evaluation, or overview paper. It should also indicate which authors are research students, and whether the main author(s) are students. A draft paper for which ALL authors are students will receive additional feedback by one of the PC members shortly after the symposium has taken place. We use EasyChair for the refereeing process. Papers must be submitted at: https://easychair.org/conferences/?conf=tfp2016 Papers must be written in English, and written using the LNCS style. For more information about formatting please consult the Springer LNCS web site: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 == IMPORTANT DATES == Submission of draft papers: April 8, 2016 Notification: April 15, 2016 Registration: May 13, 2016 TFP Symposium: June 8-10, 2016 Student papers feedback: June 14, 2016 Submission for formal review: July 14, 2016 Notification of acceptance: September 14, 2016 Camera ready paper: October 14, 2016 == PROGRAM COMMITTEE == Amal Ahmed Northeastern University (US) Nada Amin École Polytechnique Fédérale de Lausanne (CH) Kenichi Asai Ochanomizu University (JP) Malgorzata Biernacka University of Wroclaw (PL) Laura Castro University of A Coruña (ES) Ravi Chugh University of Chicago (US) Silvia Ghilezan University of Novi Sad (SR) Clemens Grelck University of Amsterdam (NL) John Hughes Chalmers University of Technology (SE) Suresh Jagannathan Purdue University (US) Pieter Koopman Radboud University Nijmegen (NL) Geoffrey Mainland Drexel University (US) Chris Martens University of California, Santa Cruz (US) Jay McCarthy University of Massachusetts, Lowell (US) Heather Miller École Polytechnique Fédérale de Lausanne (CH) Manuel Serrano INRIA, Sophia-Antipolis (FR) Scott Smith Johns Hopkins University (US) Éric Tanter University of Chile (CL) David Van Horn (Chair) University of Maryland (US) Niki Vazou University of California, San Diego (US) Stephanie Weirich University of Pennsylvania (US)

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Gambit-list Mars 2016