MLOS is a project to enable autotuning for systems.
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Updated
Jun 2, 2024 - Python
MLOS is a project to enable autotuning for systems.
GERBIL - General Entity annotatoR Benchmark
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
NPBench - A Benchmarking Suite for High-Performance NumPy
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture
Arline Benchmarks platform allows to benchmark various algorithms for quantum circuit mapping/compression against each other on a list of predefined hardware types and target circuit classes
Telco pIPeline benchmarking SYstem
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
Write Benchmarks like Tests
Observatory is an extensible Java framework for benchmarking InfiniBand verbs implementations.
CLAMH (Cross-LAnguage Microbenchmark Harness) is a language-independent benchmark harness design and the implementation of that design for different languages.
PHP Micro & Router Framework Benchmark
Command execution time meter
Optimization of black box functions defined on bit vectors
Benchmarking optimization solvers.
Use Emacs to run benchmarks and to collect data
In network latency measurement for C++ applications
A client-server code to bench-mark dpdk in different configurations
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