From 67558dd90989a4097c0f6fc6037974c97285f27b Mon Sep 17 00:00:00 2001 From: Peixin Li Date: Wed, 8 Jan 2025 14:07:23 +0800 Subject: [PATCH 1/2] sign Signed-off-by: Peixin Li --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9cb19044dcb..d6ec9af0903 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,8 @@ The RAPIDS Accelerator for Apache Spark provides a set of plugins for [Apache Spark](https://spark.apache.org) that leverage GPUs to accelerate processing via the [RAPIDS](https://rapids.ai) libraries and [UCX](https://www.openucx.org/). + + ![TPCxBB Like query results](./docs/img/tpcxbb-like-results.png "TPCxBB Like Query Results") The chart above shows results from running ETL queries based off of the @@ -60,4 +62,4 @@ Currently, we are working with XGBoost to try to provide this integration out of You may need to disable RMM caching when exporting data to an ML library as that library will likely want to use all of the GPU's memory and if it is not aware of RMM it will not have -access to any of the memory that RMM is holding. \ No newline at end of file +access to any of the memory that RMM is holding. From f284e2798acbfabd78e881d769209bdb79037673 Mon Sep 17 00:00:00 2001 From: Peixin Li Date: Wed, 8 Jan 2025 14:07:43 +0800 Subject: [PATCH 2/2] no sign --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index d6ec9af0903..5974a693c24 100644 --- a/README.md +++ b/README.md @@ -9,6 +9,9 @@ via the [RAPIDS](https://rapids.ai) libraries and [UCX](https://www.openucx.org/ ![TPCxBB Like query results](./docs/img/tpcxbb-like-results.png "TPCxBB Like Query Results") The chart above shows results from running ETL queries based off of the + + + [TPCxBB benchmark](http://www.tpc.org/tpcx-bb/default.asp). These are **not** official results in any way. It uses a 10TB Dataset (scale factor 10,000), stored in parquet. The processing happened on a two node DGX-2 cluster. Each node has 96 CPU cores, 1.5TB host memory, 16 V100 GPUs, and 512 GB