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Code Issues Releases Wiki Activity

update

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Newnius
2020-04-30 18:39:47 +08:00
parent c447a85471
commit ff0c10647b
2 changed files with 24 additions and 10 deletions
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10
src/resource_pool.go
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@@ -32,7 +32,7 @@ type ResourcePool struct {
counter int
counterTotal int
bindings map[string]map[string]bool
bindings map[string]map[string]int
bindingsMu sync.Mutex
utils map[string][]int
@@ -59,7 +59,7 @@ func (pool *ResourcePool) start() {
pool.networksFree = map[string]bool{}
pool.versions = map[string]float64{}
pool.bindings = map[string]map[string]bool{}
pool.bindings = map[string]map[string]int{}
pool.utils = map[string][]int{}
pool.TotalGPU = 0
@@ -270,9 +270,9 @@ func (pool *ResourcePool) attach(GPU string, job string) {
pool.bindingsMu.Lock()
defer pool.bindingsMu.Unlock()
if _, ok := pool.bindings[GPU]; !ok {
pool.bindings[GPU] = map[string]bool{}
pool.bindings[GPU] = map[string]int{}
}
pool.bindings[GPU][job] = true
pool.bindings[GPU][job] = int(time.Now().Unix())
if _, ok := pool.utils[GPU]; !ok {
pool.utils[GPU] = []int{}
@@ -294,6 +294,6 @@ func (pool *ResourcePool) detach(GPU string, jobName string) {
}
}
func (pool *ResourcePool) getBindings() map[string]map[string]bool {
func (pool *ResourcePool) getBindings() map[string]map[string]int {
return pool.bindings
}

24
src/scheduler_fair.go
View File

@@ -205,7 +205,7 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
var candidates []NodeStatus
/* first, choose sharable GPUs */
if scheduler.enableShare && (pool.TotalGPU != 0 && float64(scheduler.UsingGPU)/float64(pool.TotalGPU) > scheduler.enableShareRatio) {
if scheduler.enableShare && (pool.TotalGPU != 0 && float64(scheduler.UsingGPU)/float64(pool.TotalGPU) >= scheduler.enableShareRatio) {
// check sharable
allocationType = 1
if util, valid := InstanceOfOptimizer().predictUtilGPU(job.Name); valid {
@@ -279,8 +279,9 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
}
/* third round, find gpu to be released */
if len(candidates) == 0 && len(job.Tasks) == 1 && scheduler.enablePreSchedule {
if pool.TotalGPU != 0 && float64(scheduler.UsingGPU)/float64(pool.TotalGPU) > scheduler.enablePreScheduleRatio {
if len(candidates) == 0 && len(job.Tasks) == 1 && task.NumberGPU == 1 && scheduler.enablePreSchedule {
estimate, valid := InstanceOfOptimizer().predictTime(job.Name)
if pool.TotalGPU != 0 && float64(scheduler.UsingGPU)/float64(pool.TotalGPU) >= scheduler.enablePreScheduleRatio && valid {
allocationType = 3
for i := 0; i < pool.poolsCount; i++ {
pool.poolsMu[(i+poolID)%pool.poolsCount].Lock()
@@ -288,8 +289,21 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
for _, node := range pool.pools[(i+poolID)%pool.poolsCount] {
var available []GPUStatus
for _, status := range node.Status {
if status.MemoryAllocated == 0 && status.MemoryUsed < 10 {
available = append(available, status)
bindings := pool.getBindings()
if tasks, ok := bindings[status.UUID]; ok {
if len(tasks) > 1 {
continue
}
for task_t, s := range tasks {
est, valid2 := InstanceOfOptimizer().predictTime(task_t)
if valid2 {
t := s
now := (int)(time.Now().Unix())
if now-t > est.Total-est.Post-estimate.Pre && status.MemoryFree > task.MemoryGPU {
available = append(available, status)
}
}
}
}
}
if len(available) >= task.NumberGPU {