
Concurrency Debugging
- 285 installs
- 155 repo stars
- Updated June 27, 2026
- mohitmishra786/low-level-dev-skills
Diagnose race conditions, deadlocks, lock contention, and nondeterministic failures in multithreaded C/C++/Rust services before release.
About
Guides systematic debugging of concurrent low-level code: reproducing intermittent failures, interpreting sanitizer output, tracing lock order, and isolating shared-state races in threaded APIs, CLIs, and agents.
- Race and deadlock triage
- Thread sanitizer workflows
- Lock ordering analysis
- Repro under parallel load
- Root-cause fix guidance
Concurrency Debugging by the numbers
- 285 all-time installs (skills.sh)
- +26 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #140 of 596 Debugging skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill concurrency-debuggingAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 285 |
|---|---|
| repo stars | ★ 155 |
| Last updated | June 27, 2026 |
| Repository | mohitmishra786/low-level-dev-skills ↗ |
What it does
Diagnose race conditions, deadlocks, lock contention, and nondeterministic failures in multithreaded C/C++/Rust services before release.
Files
Concurrency Debugging
Purpose
Guide agents through diagnosing and fixing concurrency bugs: reading ThreadSanitizer race reports, using Helgrind for lock-order analysis, detecting deadlocks with GDB thread inspection, identifying common std::atomic misuse patterns, and applying happens-before reasoning in C++ and Rust.
Triggers
- "ThreadSanitizer reported a data race — how do I read the report?"
- "My program deadlocks — how do I debug it?"
- "How do I use Helgrind to find threading bugs?"
- "Am I using std::atomic correctly?"
- "How does happens-before work in C++ memory ordering?"
- "How do I find which threads are deadlocked in GDB?"
Workflow
1. ThreadSanitizer (TSan) — race detection
# Build with TSan
clang -fsanitize=thread -g -O1 -o prog main.c
# or GCC
gcc -fsanitize=thread -g -O1 -o prog main.c
# Run (TSan intercepts memory accesses at runtime)
./prog
# TSan-specific options
TSAN_OPTIONS="halt_on_error=1:second_deadlock_stack=1" ./progReading a TSan report:
WARNING: ThreadSanitizer: data race (pid=12345)
Write of size 4 at 0x7f1234 by thread T2:
#0 increment /src/counter.c:8:5 ← access site in T2
#1 worker_thread /src/counter.c:22:3
Previous read of size 4 at 0x7f1234 by thread T1:
#0 read_counter /src/counter.c:3:14 ← conflicting access in T1
#1 main /src/counter.c:30:5
Thread T2 created at:
#0 pthread_create .../tsan_interceptors.cpp
#1 main /src/counter.c:28:3
SUMMARY: ThreadSanitizer: data race /src/counter.c:8:5 in incrementHow to read: 1. Line 1: type of access (write/read) and address 2. Stack under "Write of size": the thread that performed the write 3. Stack under "Previous read/write": the conflicting thread 4. "Thread T2 created at": where the thread was spawned 5. Fix: the increment and read_counter functions access the same address without synchronization
Common races and fixes:
| Race pattern | Fix |
|---|---|
| Read/write on global without lock | Add mutex or use std::atomic |
Double-checked locking without atomic | Use std::once_flag + std::call_once |
+= on shared integer | Use std::atomic<int>::fetch_add() |
| Container modified while iterated | Lock entire critical section |
shared_ptr ref count race | Already safe (ref count is atomic); but pointed-to object may not be |
2. Helgrind — lock-order and race detection
Helgrind uses Valgrind infrastructure to detect lock ordering violations (potential deadlocks) and data races:
# Run with Helgrind
valgrind --tool=helgrind --log-file=helgrind.log ./prog
# Lock order violation report
==1234== Thread #3: lock order "0x... M2" after "0x... M1"
==1234== observed (incorrect) order
==1234== at pthread_mutex_lock (helgrind/...)
==1234== by worker2 /src/worker.c:45 ← T3 takes M2 then M1
==1234==
==1234== required order established by acquisition of lock at address 0x... M1
==1234== at pthread_mutex_lock
==1234== by worker1 /src/worker.c:31 ← T1 takes M1 then M2Lock-order violation = potential deadlock:
- Thread T1 acquires M1, then tries M2
- Thread T2 acquires M2, then tries M1
- Both can deadlock if they race
Fix: enforce a consistent global lock ordering. Always take M1 before M2 everywhere.
3. Deadlock detection with GDB
# Attach GDB to a deadlocked process
gdb -p $(pgrep prog)
# Or run under GDB then trigger deadlock
(gdb) info threads # list all threads and current state
# * 1 Thread 0x... (LWP 1234) "prog" ... in __lll_lock_wait ()
# 2 Thread 0x... (LWP 1235) "prog" ... in __lll_lock_wait ()
# Threads blocked in __lll_lock_wait = waiting for mutex
(gdb) thread 1
(gdb) bt # show which mutex thread 1 is waiting for
(gdb) thread 2
(gdb) bt # show which mutex thread 2 holds/waits
# Find the mutex owner
(gdb) p ((pthread_mutex_t*)0x601090)->__data.__owner # Linux glibc mutex
# prints TID of owning thread
# Python script to dump all mutex owners (GDB 7+)
python
import gdb
for t in gdb.selected_inferior().threads():
t.switch()
print(f"Thread {t.num}: {gdb.execute('bt 3', to_string=True)}")
end4. std::atomic misuse patterns
// WRONG: atomic variable, but non-atomic compound operation
std::atomic<int> counter{0};
if (counter == 0) counter = 1; // not atomic together! TOCTOU race
// CORRECT: use compare_exchange
int expected = 0;
counter.compare_exchange_strong(expected, 1);
// WRONG: relaxed ordering for sync flag
std::atomic<bool> ready{false};
// Producer:
data = 42;
ready.store(true, std::memory_order_relaxed); // WRONG: no happens-before
// CORRECT: release-acquire for publishing data
// Producer:
data = 42;
ready.store(true, std::memory_order_release); // syncs with acquire
// Consumer:
if (ready.load(std::memory_order_acquire)) { // syncs with release
use(data); // safe to read data here
}
// WRONG: using data across threads without atomic/mutex
// int shared_data; // non-atomic — UB on concurrent access
// CORRECT: protect with mutex or make atomic
std::mutex mtx;
std::unique_lock lock(mtx);
shared_data = 42;5. Happens-before reasoning
In C++, happens-before is established by:
Sequenced-before (within a thread):
Statement A comes before B in code → A happens-before B
Synchronizes-with (across threads):
store(release) → load(acquire) on SAME atomic variable
→ store happens-before load
→ everything before store happens-before everything after load
Thread creation/join:
spawn(T) → any action in T (create synchronizes-with)
any action in T → join(T) (join synchronizes-before)
Mutex:
unlock(M) → lock(M) (next acquirer)// Establishing happens-before across threads
std::atomic<int> flag{0};
int data = 0;
// Thread 1:
data = 42; // A
flag.store(1, memory_order_release); // B: A sequenced-before B
// Thread 2:
while (flag.load(memory_order_acquire) != 1) {} // C: synchronizes-with B
int x = data; // D: C sequenced-before D
// D reads 42: A happens-before B synchronizes-with C sequenced-before D
// → A happens-before D6. Rust concurrency — compile-time guarantees
Rust prevents data races at compile time via ownership:
use std::sync::{Arc, Mutex};
use std::thread;
// Shared mutable state: Arc<Mutex<T>>
let counter = Arc::new(Mutex::new(0u32));
let c = Arc::clone(&counter);
let t = thread::spawn(move || {
let mut val = c.lock().unwrap();
*val += 1;
});
t.join().unwrap();
println!("{}", *counter.lock().unwrap());
// Rust prevents:
// - Sharing &mut T across threads (Sync not impl for &mut T)
// - Moving non-Send types to threads (compiler error)
// Use TSAN_OPTIONS with cargo test if TSan checks are needed:
// RUSTFLAGS="-Z sanitizer=thread" cargo +nightly testRelated skills
- Use
skills/runtimes/sanitizersfor TSan build flags and other sanitizers - Use
skills/profilers/valgrindfor Helgrind and Memcheck integration - Use
skills/debuggers/gdbfor advanced GDB thread inspection - Use
skills/low-level-programming/memory-modelfor C++/Rust memory ordering theory