BEEBS Benchmarks
ConceptBEEBS is a benchmark suite used to evaluate embedded-systems and compiler research, including security mechanisms on RISC-V, iterative compilation on mobile devices, and functional coverage collection on the BlackParrot core using ZP Cosim.
First seen 7/11/2026
Last seen 7/11/2026
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BEEBS Benchmarks
Overview
BEEBS is a benchmark suite that has been used to evaluate research in compiler optimization, embedded-systems security, and hardware verification. The evidence describes the suite being applied across three distinct research contexts: forward-edge control-flow integrity on RISC-V, iterative compilation for mobile devices, and functional coverage analysis on the BlackParrot RISC-V core.
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1 connectionsZP Cosim evaluates BEEBS benchmarks for coverage on BlackParrot
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1 linksCITATIONS
6 sources6 citations — click to expand
[1] BEEBS is used as an evaluation benchmark suite for research in compiler optimization, security, and hardware verification. Branch Landing: Bloom Filter-Based Source Authorization for Forward-Edge CFI on RISC-V
[2] The Branch Landing framework was evaluated on 81 BEEBS benchmarks under a function-level type-based policy and a basic-block-level CFG-derived policy. Branch Landing: Bloom Filter-Based Source Authorization for Forward-Edge CFI on RISC-V
[3] Under a 3-cycle brl latency model, the function-level type-based and basic-block-level CFG-derived policies incur average runtime overheads of 0.210% and 0.421% and mean code size growth of 0.46% and 0.52% respectively on the BEEBS suite. Branch Landing: Bloom Filter-Based Source Authorization for Forward-Edge CFI on RISC-V
[4] The CFG-derived policy reduces the average equivalence class size by 32.5% compared to the type-based policy on BEEBS, with no BRL enforcement failures observed. Branch Landing: Bloom Filter-Based Source Authorization for Forward-Edge CFI on RISC-V
[5] An iterative-compilation technique using capture-and-replay improved performance on the BEEBS benchmark suite by up to 57%, with average user-experienced slowdown of 0.8% and storage reductions of two to three orders of magnitude. Iterative compilation on mobile devices
[6] BEEBS was included alongside RISC-V Tests and 4 of 9 SPEC 2017 benchmark programs in the ZP Cosim coverage evaluation on the BlackParrot core, contributing to coverage maps of covergroup IDs and coverpoint toggles. ZP Cosim thesis (Anoop Mysore Nataraja, 2023)