ICFP 2017 artifact submitted for evaluation (AEC) Verified Low-level Programming Embedded in F*
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The present image was generated after a successful verification, extraction, compilation and test run of:
To run this Docker image, first install Docker on your machine following platform-specific instructions at https://docs.docker.com/engine/installation/
Then, just run:
docker run -t -i projecteverest/everest-icfp2017aec
to open a Docker container based on this Docker image with a command-line prompt. From now one, the commands proposed in this file are assumed run from within such a Docker container (except for the Regenerating this artifact section, of course.)
In order of appearance in the paper:
hacl-star/code/salsa-family/Hacl.Impl.Chacha20.fst:777 for the
implementation, and hacl-star/code/salsa-family/Chacha20.fsti for the
interfaceFStar/ulib/FStar.HyperHeap.fst, for the definition of rid,
root, etc.FStar/ulib/FStar.HyperStack.fst, for the definition of
is_stack_region, sid, the mem type, etc.FStar/ulib/hyperstack/FStar.ST.fst, for the definition of
push_frame, the allocation functions, the Stack and StackInline
effects, etc.FStar/ulib/FStar.Buffer.fstFStar/ulib/FStar.Struct.fstFStar/ulib/FStar.StructNG.fsthacl-star/code/bignum/Hacl.Bignum.Limb.fst, including the the definition
of v and eq_maskhacl-star/code/poly1305/Hacl.Bignum.Modulo.fst, and
the closest equivalent of poly1305_mac is poly1305_last_pass_ in
hacl-star/code/poly1305/Hacl.Impl.Poly1305_64.fstnormalize function is in
FStar/examples/low-level/crypto/Crypto.Symmetric.Poly1305.Bignum.fst and
is called finalize; the poly1305_mac function is in
FStar/examples/low-level/crypto/Crypto.Symmetric.Poly1305.fst:1083.
Note: this code no longer verifies, as this directory has been phased
out in favor of the new, improved proofs in HACL*encrypt, is in
hacl-star/secure-api/aead/Crypto.AEAD.Encrypt.fsthacl-star/secure_api/uf1cma/Crypto.Symmetric.MAC.fst:216, including an
example of multiplexing, where we deal with different types of MACs depending
on which algorithm is used. This pattern also extracts to C.kremlin; of notable
interest are the files
kremlin/src/Simplify.ml (many rewriting passes),
kremlin/src/Inlining.ml (inlining of the StackInline effect),
kremlin/src/DataTypes.ml (compilation of data types and pattern
matches),
kremlin/src/AstToCStar.ml (the transformation from λow* to C*)FStar/srcThe tests that best showcase our methodology are run via make -C hacl-star/test extract-c. This targets extracts to C code our AEAD development,
along with a variety of cryptographic algorithms (x25519, poly1305, chacha20,
xsalsa20); this target also compiles and runs test executables such as
secure_api/krml-test-{vale,hacl}.exe.
Additional test targets not covered by make -C hacl-star/test extract-c
include:
make -C hacl-star/code/poly1305 poly1305.exe: unit test for the Poly1305
algorithmmake -C hacl-star/code/salsa-family chacha20.exe salsa20.exe: unit test for
the Chacha20 and Salsa20 algorithms.One can extract HACL* to a releasable set of C files, then run a performance benchmark using GCC, then show the performance results, via:
make -C hacl-star/test snapshot-gcc
make -C hacl-star/test perf-gcc
cat hacl-star/test/benchmark-gcc.txt
In the above sequence, gcc can be replaced with gcc-unrolled to have
KreMLin unroll some loops when extracting the C code.
Due to licensing reasons, we do not believe we can safely redistribute CompCert in this artefact evaluation image. However, one can easily install CompCert via:
wget http://compcert.inria.fr/release/compcert-3.0.1.tgz
tar xzvf compcert-3.0.1.tgz
cd CompCert-3.0.1
./configure x86_64-linux
make -j 8
sudo make install
cd ..
One this is done, the following series of commands will run performance benchmarks for CompCert:
make -C hacl-star/test snapshot-ccomp
make -C hacl-star/test perf-ccomp
cat hacl-star/test/benchmark-compcert.txt
A popular benchmarking tool is the OpenSSL "speed" command, which measures how many operations of a given kind may be performed over a span of 3 seconds, for different input sizes.
We wrote a new OpenSSL engine that packages some of our algorithms, meaning we can measure their performance using the aforementioned testing framework. Right now, the engine is set up so that our algorithms perform as many computations as the OpenSSL ones, but due to some minor API differences, there remains some work to ensure we compute the right result (e.g. detect when to perform the call to Poly1305_Finalize according to the state machine of OpenSSL).
After regenerating the GCC snapshot by make -C hacl-star/test snapshot-gcc,
these OpenSSL engine tests can be run via make -C hacl-star/test/openssl-engine test.
One can replay the proofs by running the high-level command: ./everest verify -j 8 where 8 is a suggested number of cores to use. One may want to allocate
more cores and more memory to their Docker instance.
One can easily reconstruct this artefact from scratch, by running the following sequence of commands from a machine with Docker installed:
git clone https://github.com/project-everest/everest.git everest
cd everest
git checkout icfp2017aec
docker build --tag projecteverest/everest-icfp2017aec .docker/everest-chomolungma
This takes a couple hours on a powerful machine. To speed up this process, the last command can be replaced with:
docker build --build-arg PARALLEL_OPT='-j 4' --tag projecteverest/everest-icfp2017aec .docker/everest-chomolungma
to build and verify everything using 4 cores.
git rev-parse HEAD
should show: 773d0217ac8b8216020e348475fe56bb824a5fbc.
Outside of the Docker container:
docker images projecteverest/everest-icfp2017aec:latest
should show: IMAGE ID: 2e346939d3d9
Content type
Image
Digest
Size
1.7 GB
Last updated
over 9 years ago
docker pull projecteverest/everest-icfp2017aec