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a10y
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Feb 11, 2026
| { | ||
| let reference = <T as From<u8>>::from(REFERENCE_VALUE); | ||
| let data: Vec<T> = (0..len) | ||
| .map(|i| <T as From<u8>>::from((i % 256) as u8) + reference) |
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this was overflowing before?
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Feb 12, 2026
| let mut total_time = Duration::ZERO; | ||
| let mut cuda_ctx = CudaSession::create_execution_ctx(&VortexSession::empty()) | ||
| .vortex_expect("failed to create execution context") | ||
| .with_launch_strategy(Arc::new(timed)); |
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see here: instead of replicating the full launch setup in benchmark code, we can just stub in a launcher that collects timing information across runs
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Feb 12, 2026
| }}; | ||
| /// Implementations can add tracing, async callbacks, or other behavior | ||
| /// around kernel launches. | ||
| pub trait LaunchStrategy: Debug + Send + Sync + 'static { |
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this is where LaunchStrategy is defined and impled
Signed-off-by: Andrew Duffy <[email protected]> fixup Signed-off-by: Andrew Duffy <[email protected]>
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Overview of changes
ergonomics/API focused changes
LaunchStrategyon the execution context. This by default will launch kernels and not track any timing information, but it is pluggable. For example in benchmarks we replace this with aTimedLaunchedStrategywhich executes the kernels in blocking mode and logs their execution time.ctx.launch_kernel()method, which accepts a closure that is used to populate kernel argumentsA lot of test and benchmark code needed to be updated to use the new launch methods.
Fused FOR + BPThis has been shelved for a FLUP since this was too big
* I've updated the BP kernel generator to generate bp as FFOR, i.e. fused bitpacking with FOR. In practice, this is just adding aconst T referenceparam. By default the execution for BitPackedArray passeszero, but there is a specialization in theForArrayexecution tree where if it detects one of its descendants is BP, it fuses itself with the bit unpackingGPU tracing tool
There's a new binary in
vortex-test-e2e-cuda-scanwhich takes as input a Vortex file.It will recompress the file using only GPU-supported encodings, scan it back, and collect timings for how long each column scan took. The results are printed as either pretty text, or as JSON to stdout, which can be piped into duckdb or similar for analysis
Example usage: