calyx_opt/analysis/control_order.rs
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use crate::analysis::{PromotionAnalysis, ReadWriteSet};
use calyx_ir as ir;
use calyx_utils::{CalyxResult, Error};
use ir::RRC;
use itertools::Itertools;
use petgraph::{
algo,
graph::{DiGraph, NodeIndex},
};
use std::collections::{HashMap, HashSet};
use std::fmt::Write as _;
/// Extract the dependency order of a list of control programs.
/// Dependencies are defined using read/write sets used in the control program.
/// The read/write sets ignore ports on constants and ThisComponent.
///
/// For example, if we have control programs C1 and C2 with read sets R1 and
/// R2 and write sets W1 and W2 respectively, we can define an order relationship:
///
/// C1 < C2 if (R1 subset of W2) and (R2 disjoint W1)
/// C1 > C2 if (R2 subset of W1) and (R1 disjoint W2)
/// C1 =!= if (R1 subset of W2) and (R2 subset of W1)
///
/// Setting `BETTER_ERR` turns on additional machinery to generate an explanation for what caused
/// the error but may require expensive computations. Turn on when cycles should be a hard error.
pub struct ControlOrder<const BETTER_ERR: bool>;
impl<const BETTER_ERR: bool> ControlOrder<BETTER_ERR> {
fn get_cells(ports: Vec<RRC<ir::Port>>) -> impl Iterator<Item = ir::Id> {
ports
.into_iter()
.filter_map(|p| {
let cr = p.borrow().cell_parent();
let cell = cr.borrow();
match cell.prototype {
// Ignore constants and _this
ir::CellType::Constant { .. } => None,
ir::CellType::ThisComponent => None,
_ => Some(cell.name()),
}
})
.unique()
}
// Filters out the constants from `cells`, while mapping the remaining `ir:Cell`s
// to their cell name.
fn filter_out_constants(
cells: &[RRC<ir::Cell>],
) -> impl Iterator<Item = ir::Id> + '_ {
cells
.iter()
.filter_map(|cell| match cell.borrow().prototype {
ir::CellType::Constant { .. } => None,
ir::CellType::Component { .. }
| ir::CellType::Primitive { .. }
| ir::CellType::ThisComponent { .. } => {
Some(cell.borrow().name())
}
})
.unique()
}
/// Return a total order for the control programs.
/// Returns an error if there is a cycle
pub fn get_total_order(
stmts: impl Iterator<Item = ir::Control>,
) -> CalyxResult<Vec<ir::Control>> {
// Directed graph where edges means that a control program must be run before.
let mut gr: DiGraph<Option<ir::Control>, ()> = DiGraph::new();
// Mapping name of cell to all the indices that read or write to it.
let mut reads: HashMap<ir::Id, Vec<NodeIndex>> = HashMap::default();
let mut writes: HashMap<ir::Id, Vec<NodeIndex>> = HashMap::default();
let add_cells =
|idx: NodeIndex,
ports: Vec<RRC<ir::Port>>,
map: &mut HashMap<ir::Id, Vec<NodeIndex>>| {
let cells = Self::get_cells(ports);
for cell in cells {
map.entry(cell).or_default().push(idx);
}
};
// Compute read/write sets and add them to the maps
for c in stmts {
let (port_reads, port_writes) =
ReadWriteSet::control_port_read_write_set::<true>(&c);
let idx = gr.add_node(Some(c));
add_cells(idx, port_reads, &mut reads);
add_cells(idx, port_writes, &mut writes);
}
// Add edges between read and writes
for (cell, r_idxs) in reads {
if let Some(wr_idxs) = writes.get(&cell) {
wr_idxs.iter().cartesian_product(r_idxs.iter()).for_each(
|(wr, r)| {
if wr != r {
gr.add_edge(*r, *wr, ());
}
},
);
}
}
if let Ok(order) = algo::toposort(&gr, None) {
let assigns = order
.into_iter()
.map(|idx| gr[idx].take().unwrap())
.collect_vec();
Ok(assigns)
} else {
let mut msg = "".to_string();
if BETTER_ERR {
// Compute strongly connected component of the graph
let sccs = algo::kosaraju_scc(&gr);
let scc = sccs.iter().find(|cc| cc.len() > 1).unwrap();
msg = scc
.iter()
.map(|idx| {
let con = gr[*idx].as_ref().unwrap();
let mut msg = ir::Printer::control_to_str(con);
let (port_reads, port_writes) =
ReadWriteSet::control_port_read_write_set::<true>(
con,
);
write!(
msg,
" which reads: {}\n and writes: {}",
Self::get_cells(port_reads)
.map(|c| c.id)
.join(", "),
Self::get_cells(port_writes)
.map(|c| c.id)
.join(", "),
)
.unwrap();
msg
})
.join("\n");
}
Err(Error::misc(format!(
"No possible sequential ordering. Control programs exhibit data race:\n{}",
msg
)))
}
}
// Returns a graph of dependency for input programs.
// IMPORTANT: we ignore assignments to done ports.
// Input control programs are considered to have data dependency if:
// 1. subsequent program writes to cells that previous program reads from
// 2. subsequent program writes to cells that previous program writes to
// 3. subsequent program reads from cells that previous program writes to
// Furthermore, we add dependencies due to continuous assignments as well. If:
// 4. Program writes to cell that a continuous assignment writes to or reads from.
// 5. Program reads from a cell that a continuous assignment writes to.
// Then the program "touches" the continuous assignments, and therefore depends
// on all previous programs that "touched" continuous assignments as well.
// In short, we treat continuous assignments as one big cell.
pub fn get_dependency_graph_seq(
stmts: impl Iterator<Item = ir::Control>,
(cont_reads, cont_writes): (
&Vec<ir::RRC<ir::Cell>>,
&Vec<ir::RRC<ir::Cell>>,
),
dependency: &mut HashMap<NodeIndex, Vec<NodeIndex>>,
latency_map: &mut HashMap<NodeIndex, u64>,
) -> DiGraph<Option<ir::Control>, ()> {
// The names of the cells that are read/written in continuous assignments
let cont_read_cell_names =
Self::filter_out_constants(cont_reads).collect_vec();
let cont_write_cell_names =
Self::filter_out_constants(cont_writes).collect_vec();
// Directed graph where edges means that a control program must be run before.
let mut gr: DiGraph<Option<ir::Control>, ()> = DiGraph::new();
// Mapping name of cell to all the indices that read or write to it.
let mut reads: HashMap<ir::Id, Vec<NodeIndex>> = HashMap::default();
let mut writes: HashMap<ir::Id, Vec<NodeIndex>> = HashMap::default();
// Stores the nodes (i.e., control stmts) that are affected by continuous
// assignments
let mut continuous_idxs: HashSet<NodeIndex> = HashSet::new();
for c in stmts {
let (cell_reads, cell_writes) =
ReadWriteSet::control_read_write_set::<false>(&c);
let r_cell_names = Self::filter_out_constants(&cell_reads);
let w_cell_names = Self::filter_out_constants(&cell_writes);
let latency = PromotionAnalysis::get_inferred_latency(&c);
let idx = gr.add_node(Some(c));
dependency.insert(idx, Vec::new());
latency_map.insert(idx, latency);
for cell in r_cell_names {
// Checking: 3. subsequent program reads from cells that previous program writes to
if let Some(wr_idxs) = writes.get(&cell) {
for wr_idx in wr_idxs {
if !wr_idx.eq(&idx) {
gr.add_edge(*wr_idx, idx, ());
dependency.entry(idx).or_default().push(*wr_idx);
}
}
}
// Checking: 5. Program reads from a cell that a continuous
// assignment writes to.
if cont_write_cell_names.contains(&cell) {
for cur_idx in continuous_idxs.iter() {
if !cur_idx.eq(&idx) {
gr.add_edge(*cur_idx, idx, ());
dependency.entry(idx).or_default().push(*cur_idx);
}
}
continuous_idxs.insert(idx);
}
reads.entry(cell).or_default().push(idx);
}
for cell in w_cell_names {
// Checking: 2. subsequent program writes to cells that previous program writes to
if let Some(wr_idxs) = writes.get(&cell) {
for wr_idx in wr_idxs {
if !wr_idx.eq(&idx) {
gr.add_edge(*wr_idx, idx, ());
dependency.entry(idx).or_default().push(*wr_idx);
}
}
}
// Checking: 1. subsequent program writes to cells that previous program reads from
if let Some(r_idxs) = reads.get(&cell) {
for r_idx in r_idxs {
if !r_idx.eq(&idx) {
gr.add_edge(*r_idx, idx, ());
dependency.entry(idx).or_default().push(*r_idx);
}
}
}
// Checking: 4. Program writes to cell that a continuous assignment
// writes to or reads from.
if cont_write_cell_names.contains(&cell)
|| cont_read_cell_names.contains(&cell)
{
for cur_idx in continuous_idxs.iter() {
if !cur_idx.eq(&idx) {
gr.add_edge(*cur_idx, idx, ());
dependency.entry(idx).or_default().push(*cur_idx);
}
}
continuous_idxs.insert(idx);
}
writes.entry(cell).or_default().push(idx);
}
}
gr
}
}