Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
Greenplum
DeepSpeed
提交
85752000
D
DeepSpeed
项目概览
Greenplum
/
DeepSpeed
上一次同步 大约 1 年
通知
10
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
DevOps
流水线
流水线任务
计划
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
D
DeepSpeed
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
DevOps
DevOps
流水线
流水线任务
计划
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
流水线任务
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
85752000
编写于
2月 10, 2020
作者:
J
Jeff Rasley
提交者:
GitHub
2月 10, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add links (#56)
上级
010f6dc0
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
11 addition
and
1 deletion
+11
-1
README.md
README.md
+11
-1
未找到文件。
README.md
浏览文件 @
85752000
...
...
@@ -10,7 +10,11 @@ efficient, and effective.
DeepSpeed can train DL models with over a hundred billion parameters on current
generation of GPU clusters, while achieving over 5x in system performance
compared to the state-of-art.
compared to the state-of-art. Early adopters of DeepSpeed have already produced
a language model (LM) with over 17B parameters called
[
Turing-NLG
](
https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft
)
,
establishing a new SOTA in the LM category.
# Table of Contents
...
...
@@ -84,6 +88,12 @@ replicated across data-parallel processes, ZeRO partitions model states to save
significant memory. The current implementation (stage 1 of ZeRO) reduces memory by up to
4x relative to the state-of-art. You can read more about ZeRO in our
[
paper
](
https://arxiv.org/abs/1910.02054
)
.
With this impressive memory reduction, early adopters of DeepSpeed have already
produced alanguage model (LM) with over 17B parameters called
[
Turing-NLG
](
https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft
)
,
establishing a new SOTA in the LM category.
## Scalability
DeepSpeed supports efficient data parallelism, model parallelism, and their
combination. ZeRO boosts the scaling capability and efficiency further.
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录