Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
H
Hercules
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
llvm
Hercules
Commits
d391d163
Commit
d391d163
authored
3 months ago
by
prrathi
Browse files
Options
Downloads
Patches
Plain Diff
mm dot works
parent
aa1cf408
No related branches found
No related tags found
1 merge request
!115
GPU backend
Pipeline
#201216
failed
3 months ago
Stage: test
Changes
2
Pipelines
1
Hide whitespace changes
Inline
Side-by-side
Showing
2 changed files
hercules_cg/src/gpu.rs
+6
-23
6 additions, 23 deletions
hercules_cg/src/gpu.rs
hercules_samples/matmul/src/main.rs
+5
-7
5 additions, 7 deletions
hercules_samples/matmul/src/main.rs
with
11 additions
and
30 deletions
hercules_cg/src/gpu.rs
+
6
−
23
View file @
d391d163
...
@@ -79,10 +79,6 @@ pub fn gpu_codegen<W: Write>(
...
@@ -79,10 +79,6 @@ pub fn gpu_codegen<W: Write>(
* - Add float8, float16, bfloat16 dtypes if they come
* - Add float8, float16, bfloat16 dtypes if they come
*/
*/
// Temporary for matmul (both true) and dot (thread true) test while we don't have schedule annotations
let
block_parallel_override
=
false
;
let
thread_parallel_override
=
false
;
let
reduce_nodes
:
Vec
<
NodeID
>
=
(
0
..
function
.nodes
.len
())
let
reduce_nodes
:
Vec
<
NodeID
>
=
(
0
..
function
.nodes
.len
())
.filter
(|
idx
|
function
.nodes
[
*
idx
]
.is_reduce
())
.filter
(|
idx
|
function
.nodes
[
*
idx
]
.is_reduce
())
.map
(
NodeID
::
new
)
.map
(
NodeID
::
new
)
...
@@ -164,8 +160,6 @@ pub fn gpu_codegen<W: Write>(
...
@@ -164,8 +160,6 @@ pub fn gpu_codegen<W: Write>(
threads_per_warp
:
32
,
threads_per_warp
:
32
,
};
};
std
::
fs
::
write
(
"out.txt"
,
"debug
\n\n
"
)
.unwrap
();
let
ctx
=
GPUContext
{
let
ctx
=
GPUContext
{
function
,
function
,
types
,
types
,
...
@@ -185,8 +179,6 @@ pub fn gpu_codegen<W: Write>(
...
@@ -185,8 +179,6 @@ pub fn gpu_codegen<W: Write>(
control_data_phi_map
,
control_data_phi_map
,
return_parameter
,
return_parameter
,
kernel_params
,
kernel_params
,
block_parallel_override
,
thread_parallel_override
,
};
};
ctx
.codegen_function
(
w
)
ctx
.codegen_function
(
w
)
}
}
...
@@ -215,8 +207,6 @@ struct GPUContext<'a> {
...
@@ -215,8 +207,6 @@ struct GPUContext<'a> {
control_data_phi_map
:
HashMap
<
NodeID
,
Vec
<
(
NodeID
,
NodeID
)
>>
,
control_data_phi_map
:
HashMap
<
NodeID
,
Vec
<
(
NodeID
,
NodeID
)
>>
,
return_parameter
:
Option
<
usize
>
,
return_parameter
:
Option
<
usize
>
,
kernel_params
:
&
'a
GPUKernelParams
,
kernel_params
:
&
'a
GPUKernelParams
,
block_parallel_override
:
bool
,
thread_parallel_override
:
bool
,
}
}
/*
/*
...
@@ -265,8 +255,6 @@ enum CGType {
...
@@ -265,8 +255,6 @@ enum CGType {
impl
GPUContext
<
'_
>
{
impl
GPUContext
<
'_
>
{
fn
codegen_function
<
W
:
Write
>
(
&
self
,
w
:
&
mut
W
)
->
Result
<
(),
Error
>
{
fn
codegen_function
<
W
:
Write
>
(
&
self
,
w
:
&
mut
W
)
->
Result
<
(),
Error
>
{
let
mut
file
=
OpenOptions
::
new
()
.append
(
true
)
.open
(
"out.txt"
)
.unwrap
();
// Emit all code up to the "goto" to Start's block
// Emit all code up to the "goto" to Start's block
let
mut
top
=
String
::
new
();
let
mut
top
=
String
::
new
();
self
.codegen_kernel_begin
(
self
.return_parameter
.is_none
(),
&
mut
top
)
?
;
self
.codegen_kernel_begin
(
self
.return_parameter
.is_none
(),
&
mut
top
)
?
;
...
@@ -289,19 +277,14 @@ impl GPUContext<'_> {
...
@@ -289,19 +277,14 @@ impl GPUContext<'_> {
// If there are no forks, fast forward to single-block, single-thread codegen
// If there are no forks, fast forward to single-block, single-thread codegen
let
(
num_blocks
,
num_threads
)
=
if
self
.fork_join_map
.is_empty
()
{
let
(
num_blocks
,
num_threads
)
=
if
self
.fork_join_map
.is_empty
()
{
writeln!
(
file
,
"shortcut to 1b1t"
)
.unwrap
();
self
.codegen_data_control_no_forks
(
&
HashSet
::
new
(),
&
mut
dynamic_shared_offset
,
&
mut
gotos
)
?
;
self
.codegen_data_control_no_forks
(
&
HashSet
::
new
(),
&
mut
dynamic_shared_offset
,
&
mut
gotos
)
?
;
(
"1"
.to_string
(),
"1"
.to_string
())
(
"1"
.to_string
(),
"1"
.to_string
())
}
else
{
}
else
{
writeln!
(
file
,
"no shortcut! fork tree: {:?}"
,
self
.fork_tree
)
.unwrap
();
// Create structures and determine block and thread parallelization strategy
// Create structures and determine block and thread parallelization strategy
let
(
root_forks
,
num_blocks
,
is_block_parallel
)
=
let
(
root_forks
,
num_blocks
,
is_block_parallel
)
=
self
.get_root_forks_and_num_blocks
(
&
self
.fork_tree
);
self
.get_root_forks_and_num_blocks
(
self
.fork_tree
);
writeln!
(
file
,
"is_block_parallel: {}"
,
is_block_parallel
)
.unwrap
();
let
(
thread_root_root_fork
,
thread_root_forks
)
=
self
.get_thread_root_forks
(
&
root_forks
,
self
.fork_tree
,
is_block_parallel
);
let
(
thread_root_root_fork
,
thread_root_forks
)
=
self
.get_thread_root_forks
(
&
root_forks
,
&
self
.fork_tree
,
is_block_parallel
);
let
(
fork_thread_quota_map
,
num_threads
)
=
self
.get_thread_quotas
(
self
.fork_tree
,
thread_root_root_fork
);
writeln!
(
file
,
"thread_root_root_fork: {:?}"
,
thread_root_root_fork
)
.unwrap
();
let
(
fork_thread_quota_map
,
num_threads
)
=
self
.get_thread_quotas
(
&
self
.fork_tree
,
thread_root_root_fork
);
writeln!
(
file
,
"fork_thread_quota_map: {:?}"
,
fork_thread_quota_map
)
.unwrap
();
// TODO: Uncomment and adjust once we know logic of extra dim
// TODO: Uncomment and adjust once we know logic of extra dim
// let extra_dim_collects = self.get_extra_dim_collects(&fork_control_map, &fork_thread_quota_map);
// let extra_dim_collects = self.get_extra_dim_collects(&fork_control_map, &fork_thread_quota_map);
let
extra_dim_collects
=
HashSet
::
new
();
let
extra_dim_collects
=
HashSet
::
new
();
...
@@ -590,7 +573,7 @@ extern \"C\" {} {}(", ret_type.clone(), self.function.name)?;
...
@@ -590,7 +573,7 @@ extern \"C\" {} {}(", ret_type.clone(), self.function.name)?;
self
.collection_objects
.origin
(
*
object
)
.try_parameter
()
.is_some
()
self
.collection_objects
.origin
(
*
object
)
.try_parameter
()
.is_some
()
})
})
}),
"All collection reduces in block fork must originate from parameters"
);
}),
"All collection reduces in block fork must originate from parameters"
);
if
self
.block_parallel_override
||
self
.function.schedules
[
root_fork
.idx
()]
.contains
(
&
Schedule
::
ParallelFork
)
if
self
.function.schedules
[
root_fork
.idx
()]
.contains
(
&
Schedule
::
ParallelFork
)
{
{
let
fork_size
=
factors
.iter
()
.map
(|
dc
|
format!
(
"dc{}"
,
dc
.idx
()))
.collect
::
<
Vec
<
_
>>
()
.join
(
" * "
);
let
fork_size
=
factors
.iter
()
.map
(|
dc
|
format!
(
"dc{}"
,
dc
.idx
()))
.collect
::
<
Vec
<
_
>>
()
.join
(
" * "
);
(
root_forks
,
fork_size
,
true
)
(
root_forks
,
fork_size
,
true
)
...
@@ -697,7 +680,7 @@ extern \"C\" {} {}(", ret_type.clone(), self.function.name)?;
...
@@ -697,7 +680,7 @@ extern \"C\" {} {}(", ret_type.clone(), self.function.name)?;
&&
fork_size
.is_power_of_two
()
&&
fork_size
.is_power_of_two
()
&&
reduces
.iter
()
.all
(|
&
reduce
|
{
&&
reduces
.iter
()
.all
(|
&
reduce
|
{
self
.function.schedules
[
reduce
.idx
()]
.contains
(
&
Schedule
::
ParallelReduce
)
self
.function.schedules
[
reduce
.idx
()]
.contains
(
&
Schedule
::
ParallelReduce
)
||
self
.thread_parallel_override
||
self
.function.schedules
[
reduce
.idx
()]
.contains
(
&
Schedule
::
TightAssociative
)
||
self
.function.schedules
[
reduce
.idx
()]
.contains
(
&
Schedule
::
TightAssociative
)
})
})
{
{
// If there's an associative Reduce, parallelize the larger factor
// If there's an associative Reduce, parallelize the larger factor
...
@@ -710,7 +693,7 @@ extern \"C\" {} {}(", ret_type.clone(), self.function.name)?;
...
@@ -710,7 +693,7 @@ extern \"C\" {} {}(", ret_type.clone(), self.function.name)?;
// restriction doesn't help for parallel Writes, so nested parallelization
// restriction doesn't help for parallel Writes, so nested parallelization
// is possible.
// is possible.
if
reduces
.iter
()
.any
(|
&
reduce
|
{
if
reduces
.iter
()
.any
(|
&
reduce
|
{
self
.thread_parallel_override
||
self
.function.schedules
[
reduce
.idx
()]
.contains
(
&
Schedule
::
TightAssociative
)
self
.function.schedules
[
reduce
.idx
()]
.contains
(
&
Schedule
::
TightAssociative
)
})
||
fork_size
>
self
.kernel_params.max_num_threads
/
subtree_quota
{
})
||
fork_size
>
self
.kernel_params.max_num_threads
/
subtree_quota
{
if
fork_size
>=
subtree_quota
{
if
fork_size
>=
subtree_quota
{
(
HashMap
::
new
(),
fork_size
,
true
)
(
HashMap
::
new
(),
fork_size
,
true
)
...
...
This diff is collapsed.
Click to expand it.
hercules_samples/matmul/src/main.rs
+
5
−
7
View file @
d391d163
...
@@ -10,13 +10,11 @@ juno_build::juno!("matmul");
...
@@ -10,13 +10,11 @@ juno_build::juno!("matmul");
fn
main
()
{
fn
main
()
{
async_std
::
task
::
block_on
(
async
{
async_std
::
task
::
block_on
(
async
{
const
I
:
usize
=
4
;
const
I
:
usize
=
256
;
const
J
:
usize
=
2
;
const
J
:
usize
=
8
;
// hardcoded constant in matmul.hir
const
K
:
usize
=
8
;
const
K
:
usize
=
128
;
// let mut a: Box<[i32]> = (0..I * J).map(|_| random::<i32>() % 100).collect();
let
mut
a
:
Box
<
[
i32
]
>
=
(
0
..
I
*
J
)
.map
(|
_
|
random
::
<
i32
>
()
%
100
)
.collect
();
// let mut b: Box<[i32]> = (0..J * K).map(|_| random::<i32>() % 100).collect();
let
mut
b
:
Box
<
[
i32
]
>
=
(
0
..
J
*
K
)
.map
(|
_
|
random
::
<
i32
>
()
%
100
)
.collect
();
let
mut
a
:
Box
<
[
i32
]
>
=
(
0
..
I
*
J
)
.map
(|
i
|
(
i
as
i32
)
%
100
)
.collect
();
let
mut
b
:
Box
<
[
i32
]
>
=
(
0
..
J
*
K
)
.map
(|
i
|
(
i
as
i32
)
%
100
)
.collect
();
let
mut
correct_c
:
Box
<
[
i32
]
>
=
(
0
..
I
*
K
)
.map
(|
_
|
0
)
.collect
();
let
mut
correct_c
:
Box
<
[
i32
]
>
=
(
0
..
I
*
K
)
.map
(|
_
|
0
)
.collect
();
for
i
in
0
..
I
{
for
i
in
0
..
I
{
for
k
in
0
..
K
{
for
k
in
0
..
K
{
...
...
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment