DependableSystemsLab / LLTFILinks
LLTFI is a tool, which is an extension of LLFI, allowing users to run fault injection experiments on C/C++, TensorFlow and PyTorch applications at the LLVM IR level. Please refer to the paper below. NOTE: If you publish a paper using LLTFI, please cite the following paper:
☆39Updated last year
Alternatives and similar repositories for LLTFI
Users that are interested in LLTFI are comparing it to the libraries listed below
Sorting:
- Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation☆77Updated 2 years ago
- ☆74Updated 7 months ago
- ☆22Updated 11 months ago
- Gem5 implementation of "InvisiSpec", a defense mechanism of speculative execution attacks on cache hierarchy.☆61Updated 5 years ago
- GPU-enabled Hardware Fuzzer using Genetic Algorithm☆19Updated 2 years ago
- gem5 configuration for intel's skylake micro-architecture☆52Updated 3 years ago
- Race detector for NVIDIA GPUs, published in SOSP 2021.☆18Updated 9 months ago
- PolyBench/C benchmark suite (version 4.2.1 beta) from http://web.cse.ohio-state.edu/~pouchet/software/polybench/☆123Updated 9 years ago
- ☆28Updated this week
- ☆18Updated 10 months ago
- The Splash-3 benchmark suite☆45Updated 2 years ago
- Artifact, reproducibility, and testing utilites for gem5☆23Updated 4 years ago
- A Framework for Automated Validation of Deep Learning Training Tasks☆55Updated 2 months ago
- ☆13Updated 2 years ago
- A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.☆40Updated 3 years ago
- A CUDA compiler fuzzer☆29Updated 2 years ago
- Creating beautiful gem5 simulations☆49Updated 4 years ago
- ☆34Updated 3 years ago
- (elastic) cuckoo hashing☆14Updated 5 years ago
- ☆13Updated 5 years ago
- Code released to accompany the ISCA paper: "T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware"☆28Updated 3 years ago
- GPU Static Modeling using PTX and Deep Structured Learning☆18Updated 5 years ago
- A group of students who are interested in Compilers, and they want to improve themselves together.☆25Updated 3 years ago
- Automatic virtualization of (general) accelerators.☆45Updated 3 years ago
- CleanupSpec (MICRO-2019)☆16Updated 5 years ago
- A scheduling framework for multitasking over diverse XPUs, including GPUs, NPUs, ASICs, and FPGAs☆140Updated last week
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Updated 6 years ago
- A list of benchmark suites used in the research related to compilers, program performance, scientific computations etc.☆58Updated 2 years ago
- ☆34Updated 5 years ago
- ☆21Updated 3 years ago