Comments (8)
Back to 16 with #112 fix.
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NB: perf is measured on KNL 7250 single node.
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v2.22.00 getting only 13.9 GPts/s w/auto-tuning and 14.2 w/o.
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V3.0 preview: 13.8 w/o auto-tuning, 13.0 with.
w/4x4x1 folding and no clustering: 13.2 w/o auto-tuning, 13.2 with.
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After fix to avoiding call to get debug stream: 13.9 w/o auto-tuning, 13.2 with.
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New measurement of v2.22.00 gives 15.9 w/o auto-tuning, 15.3 with.
Found that 3.0 preview doesn't have FMAs.
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Fixed FMA-generation in 3.0 preview; now 15.8 w/o auto-tuning, 15.1 with.
Re-measured prev versions:
v20170421: 17.7 (1.12x of current)
v1.00.00: 17.3 (1.09x)
v2.00.00: 17.0 (1.07x)
v2.07.03: 16.1 (1.02x)
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Interest in KNL no longer merits investigation.
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Related Issues (20)
- Improve default temporal allocation
- Track and check step-var values in APIs
- Select host arch by default during build and run HOT 2
- Compile error: find_seq_in_lookup_table: seq_number not found (shared/cfe/edgcpfe/il.c) HOT 2
- Improve halo-exchange for all domain sizes
- Convert code-names to ISA for "arch" setting.
- Enable intra-node MPI via shared-memory as default HOT 2
- Serpentine block path doesn't work HOT 2
- Add data visualization
- Share auto-tuner results among ranks
- Enable streaming writes automatically HOT 1
- Relocate API doc hosting HOT 1
- "make clean; make stencil=iso3dfd" error HOT 13
- paper or so HOT 1
- Use specialised stores without mask in calc_loop_of_clusters HOT 3
- Unnecessary integer moves HOT 4
- Python API does not work with next-gen Intel compiler HOT 1
- Implement "*_in_slice" APIs directly on device for offload builds
- Hang during MPI shm allocation
- Non SIMD folding combos cause error
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