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| author | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2016-04-13 18:52:50 -0700 |
|---|---|---|
| committer | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2016-04-13 19:11:53 -0700 |
| commit | 0ef5918bbb7cb6e6d733ef91acff5349febc2bc7 (patch) | |
| tree | 16a07273fc257cba7161ca427c6a78ce02bdaa58 | |
| parent | 462a688fb8997f87b19c3c51860eb32d5458b246 (diff) | |
| download | caffeonacl-0ef5918bbb7cb6e6d733ef91acff5349febc2bc7.tar.gz caffeonacl-0ef5918bbb7cb6e6d733ef91acff5349febc2bc7.tar.bz2 caffeonacl-0ef5918bbb7cb6e6d733ef91acff5349febc2bc7.zip | |
[docs] install: be more firm about compute capability >= 3.0
| -rw-r--r-- | docs/installation.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/installation.md b/docs/installation.md index 9aa83527..95a57fdf 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -137,7 +137,7 @@ See [PR #1667](https://github.com/BVLC/caffe/pull/1667) for options and details. **Laboratory Tested Hardware**: Berkeley Vision runs Caffe with K40s, K20s, and Titans including models at ImageNet/ILSVRC scale. We also run on GTX series cards (980s and 770s) and GPU-equipped MacBook Pros. We have not encountered any trouble in-house with devices with CUDA capability >= 3.0. All reported hardware issues thus-far have been due to GPU configuration, overheating, and the like. -**CUDA compute capability**: devices with compute capability <= 2.0 may have to reduce CUDA thread numbers and batch sizes due to hardware constraints. Your mileage may vary. +**CUDA compute capability**: devices with compute capability <= 2.0 may have to reduce CUDA thread numbers and batch sizes due to hardware constraints. Brew with caution; we recommend compute capbility >= 3.0. Once installed, check your times against our [reference performance numbers](performance_hardware.html) to make sure everything is configured properly. |