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 performance measurements

Each table row shows performance measurements for this Clojure program with a particular command-line input value N.

 N  CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
250,00014.8414.86202,9723030  1% 1% 1% 100%
2,500,00059.6859.78430,7683030  1% 1% 1% 100%
25,000,000126.37126.47999,0443030  1% 1% 0% 100%

Read the ↓ make, command line, and program output logs to see how this program was run.

Read k-nucleotide benchmark to see what this program should do.

 notes

java version "1.8.0"
Java(TM) SE Runtime Environment (build 1.8.0-b132)
Java HotSpot(TM) Server VM (build 25.0-b70, mixed mode)

Clojure 1.6.0

 k-nucleotide Clojure #7 program source code

;;   The Computer Language Benchmarks Game
;;   http://benchmarksgame.alioth.debian.org/

;; contributed by Andy Fingerhut
;; modified by Marko Kocic
;; modified by Mike Anderson to make better use of primitive operations
;; modified by Andy Fingerhut for lower CPU use and high parallelism

;; Ideas for future enhancement: Better parallelism: Do completion of
;; DNA string reading while beginning hash table creation in parallel.
;; Lower memory use: Read DNA string as bytes instead of Java chars.

(ns knucleotide
  (:import java.util.concurrent.ExecutorService
           java.util.concurrent.Executors)
  (:gen-class))

(set! *warn-on-reflection* true)


;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; This is a copy of part of Amit Rathore's Medusa package, which
;; allows you to submit a bunch of Clojure expressions to run to a
;; thread pool with a fixed size.  No more than that many threads will
;; ever run at once, but Medusa tries to keep that many threads going
;; at all times, as long as there are things to do that have been
;; submitted.  This is unlike Clojure's built-in pmap, which often
;; runs fewer threads in parallel if the run time of the jobs differs
;; significantly from each other.
;;
;; git clone http://github.com/amitrathore/clj-utils.git
;; git clone http://github.com/amitrathore/medusa.git
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

(def THREADPOOL)

(def running-futures (ref {}))

(defn create-runonce [function]
  (let [sentinel (Object.)
        result (atom sentinel)] 
    (fn [& args]
      (locking sentinel 
        (if (= @result sentinel)
          (reset! result (apply function args)) 
          @result)))))

(defmacro defrunonce [fn-name args & body]
  `(def ~fn-name (create-runonce (fn ~args ~@body))))

(defrunonce init-medusa [pool-size]
  (def THREADPOOL (Executors/newFixedThreadPool pool-size)))

(defn claim-thread [future-id]
  (let [thread-info {:thread (Thread/currentThread) :future-id future-id
                     :started (System/currentTimeMillis)}]
    (dosync (alter running-futures assoc future-id thread-info))))

(defn mark-completion [future-id]
  (dosync (alter running-futures dissoc future-id)))

(defn medusa-future-thunk [future-id thunk]
  (let [^Callable work (fn []
                         (claim-thread future-id)
                         (let [val (thunk)]
                           (mark-completion future-id)
                           val))]
    (.submit ^ExecutorService THREADPOOL work)))

(defn random-uuid []
  (str (java.util.UUID/randomUUID)))

(defmacro medusa-future [& body]
  `(medusa-future-thunk (random-uuid) (fn [] (do ~@body))))

(defn medusa-pmap [num-threads f coll]
  (if (== num-threads 1)
    (map f coll)
    (do
      (init-medusa num-threads)
      (let [seq-of-futures (doall (map #(medusa-future (f %)) coll))]
        (map (fn [java-future] (.get ^java.util.concurrent.Future java-future))
             seq-of-futures)))))

(defn shutdown-medusa []
  (.shutdown ^ExecutorService THREADPOOL))

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; This is the end of the subset of Medusa code.
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;


(defmacro key-type [num]
  `(long ~num))

(definterface IFragment
  (set_key_BANG_ [^long k])
  (^long get_key [])
  (inc_BANG_ [])
  (add_BANG_ [^int n])
  (^int get_count []))


(deftype Fragment [^{:unsynchronized-mutable true :tag long} key
                       ^{:unsynchronized-mutable true :tag int} cnt]
  Object
  ;; TBD: Is there a way to return an int hashCode that is a truncated
  ;; version of the long value key without using bit-and?  Simply
  ;; using (int key) throws an exception if key is larger than
  ;; Integer/MAX_VALUE, e.g. (int Long/MAX_VALUE).
  (^int hashCode [this]
    (int (bit-and key Integer/MAX_VALUE)))
  (^boolean equals [this ^Object o]
    (let [^Fragment f o]
      (== key (.key f))))

  IFragment
  (set-key! [this ^long k]
    (set! key k))
  (get-key [this] key)
  (inc! [this]
    (set! cnt (unchecked-inc-int cnt)))
  (add! [this ^int n]
    (set! cnt (unchecked-add-int cnt n)))
  (get-count [this] cnt))

 

;; Return true when the line l is a FASTA description line

(defn fasta-description-line [l]
  (= \> (first (seq l))))


;; Return true when the line l is a FASTA description line that begins
;; with the string desc-str.

(defn fasta-description-line-beginning [desc-str l]
  (and (fasta-description-line l)
       (= desc-str (subs l 1 (min (count l) (inc (count desc-str)))))))


;; Take a sequence of lines from a FASTA format file, and a string
;; desc-str.  Look for a FASTA record with a description that begins
;; with desc-str, and if one is found, return its DNA sequence as a
;; single (potentially quite long) string.  If input file is big,
;; you'll save lots of memory if you call this function in a with-open
;; for the file, and don't hold on to the head of the lines parameter.

(defn fasta-dna-str-with-desc-beginning [desc-str lines]
  (when-let [x (drop-while
		(fn [l] (not (fasta-description-line-beginning desc-str l)))
		lines)]
    (when-let [x (seq x)]
      (let [y (take-while (fn [l] (not (fasta-description-line l)))
                          (map (fn [#^java.lang.String s] (.toUpperCase s))
                               (rest x)))]
        (apply str y)))))


(def dna-char-to-code-val-map {\A 0, \C 1, \T 2, \G 3})
(def code-val-to-dna-char {0 \A, 1 \C, 2 \T, 3 \G})

(defmacro dna-char-to-code-val [ch]
  `(case ~ch
     ~@(flatten (seq dna-char-to-code-val-map))))

;; In the hash map 'tally' in tally-dna-subs-with-len, it is more
;; straightforward to use a Clojure string (same as a Java string) as
;; the key, but such a key is significantly bigger than it needs to
;; be, increasing memory and time required to hash the value.  By
;; converting a string of A, C, T, and G characters down to an integer
;; that contains only 2 bits for each character, we make a value that
;; is significantly smaller and faster to use as a key in the map.

;;    most                 least
;; significant          significant
;; bits of int          bits of int
;;  |                         |
;;  V                         V
;; code code code ....  code code
;;  ^                         ^
;;  |                         |
;; code for               code for
;; *latest*               *earliest*
;; char in                char in
;; sequence               sequence

;; Note: Given Clojure 1.2's implementation of bit-shift-left/right
;; operations, when the value being shifted is larger than a 32-bit
;; int, they are faster when the shift amount is a compile time
;; constant.

(defn ^:static dna-str-to-key 
  (^long [^String s] (dna-str-to-key s 0 (count s)))
  (^long [^String s ^long start ^long length]
    ;; Accessing a local let binding is much faster than accessing a var
    (loop [key (long 0)
           offset (int (+ start length -1))]
      (if (< offset start)
        key
        (let [c (.charAt s offset)
              code (int (dna-char-to-code-val c))
              new-key (+ (bit-shift-left key 2) code)]
          (recur new-key (dec offset)))))))


(defn key-to-dna-str [^Fragment f len]
  (let [k (.get-key f)]
    (apply str (map code-val-to-dna-char
                    (map (fn [pos] (bit-and 3 (bit-shift-right k pos)))
                         (range 0 (* 2 len) 2))))))

;; required function : "to update a hashtable of k-nucleotide keys and
;; count values, for a particular reading-frame"

(defn tally-dna-subs-with-len [len dna-str start-offset end-offset]
  (let [len (int len)
        start-offset (int start-offset)
        dna-str ^String dna-str
        mask-width (* 2 len)
        mask (key-type (dec (bit-shift-left 1 mask-width)))]
    (loop [offset (int end-offset)
           key (key-type (dna-str-to-key dna-str offset len))
           tally (let [h (java.util.HashMap.)
                       one (Fragment. (long key) (int 1))]
                   (.put h one one)
                   h)
           fragment (Fragment. (long 0) (int 1))]
      (if (<= offset start-offset)
        tally
        (let [new-offset (unchecked-dec offset)
              new-first-char-code (dna-char-to-code-val
                                   (.charAt dna-str new-offset))
              new-key (key-type (bit-and mask (unchecked-add (bit-shift-left key 2)
                                                             new-first-char-code)))]
          (.set-key! fragment new-key)
          (if-let [^Fragment cur-fragment (get tally fragment)]
            (do
              (.inc! cur-fragment)
              (recur new-offset new-key tally fragment))
            (do
              (let [new-fragment (Fragment. (long 0) (int 1))]
                (.put tally fragment fragment)
                (recur new-offset new-key tally new-fragment)))))))))


(defn ^:static getcnt ^long [^Fragment tc]
  (.get-count tc))

(defn ^:static tally-total [tally]
  (loop [acc (long 0)
         s (vals tally)]
    (if-let [v (first s)]
      (recur (+ acc (getcnt v)) (next s))
      acc)))

(defn all-tally-to-str [tally fn-key-to-str]
  (with-out-str
    (let [total (tally-total tally)
          cmp-keys (fn [k1 k2]
                     ;; Return negative integer if k1 should come earlier
                     ;; in the sort order than k2, 0 if they are equal,
                     ;; otherwise a positive integer.
                     (let [cnt1 (int (getcnt (get tally k1)))
                           cnt2 (int (getcnt (get tally k2)))]
                       (if (not= cnt1 cnt2)
                         (- cnt2 cnt1)
                         (let [^String s1 (fn-key-to-str k1)
                               ^String s2 (fn-key-to-str k2)]
                           (.compareTo s1 s2)))))]
      (doseq [k (sort cmp-keys (keys tally))]
        (printf "%s %.3f\n" (fn-key-to-str k)
                (double (* 100 (/ (getcnt (get tally k)) total))))))))


(defn one-tally-to-str [dna-str tallies]
  (let [zerotc (Fragment. 0 0)
        ^Fragment f (Fragment. (long (dna-str-to-key dna-str)) 0)]
    (format "%d\t%s" (reduce + (map #(getcnt (get % f zerotc))
                                    tallies))
            dna-str)))


(defn piece-sizes [total-units n-pieces]
  (let [min-units-per-piece (quot total-units n-pieces)
        n-pieces-with-1-extra (mod total-units n-pieces)]
    (take n-pieces (concat (repeat n-pieces-with-1-extra
                                   (inc min-units-per-piece))
                           (repeat min-units-per-piece)))))


(defn break-work-into-pieces [{:keys [kind n-pieces] :as m} dna-str]
  (let [substr-len (if (= kind :tally-all) (:substr-len m) (count (:substr m)))
        n-substrs (inc (- (count dna-str) substr-len))
        sizes (piece-sizes n-substrs n-pieces)
        start-end-offsets (map (fn [[a b]] [a (dec b)])
                               (partition 2 1 (cons 0 (reductions + sizes))))]
    (assert (= n-substrs (reduce + sizes)))
    (for [[start end+1] (partition 2 1 (cons 0 (reductions + sizes)))]
      (assoc m :substr-len substr-len
             :dna-str dna-str
             :start-offset start
             :end-offset (dec end+1)))))


(defn do-one-piece [{:keys [substr-len dna-str start-offset end-offset] :as m}]
  (assoc m :tally-table (tally-dna-subs-with-len substr-len dna-str
                          start-offset end-offset)))

;; Like merge-with, except it only works for the HashMaps with
;; Fragments as key/value pairs.  It mutates the first HashMap given
;; in place, and potentially some of the Fragments in all of the
;; hashmaps.
(defn add-tally-hashmaps! [hmaps]
  (let [merge-entry (fn [^java.util.HashMap hm e]
                      (let [k (key e) v (val e)]
                        (if (contains? hm k)
                          (let [^Fragment cur-fragment (get hm k)
                                n (int (getcnt v))]
                            (.add! cur-fragment n))
                          (.put hm k v)))
                      hm)
        merge2 (fn [hm1 hm2]
                 (reduce merge-entry hm1 (seq hm2)))]
    (reduce merge2 hmaps)))


;; Combine pieces with same :substr-len into one final result
;;
;; For :tally-all, this should combine multiple tally tables into one
;; combined table, then print out the contents of the table.
;;
;; For :tally-one, this should extract out the counts for the one
;; desired string from each table, sum them, and print that result.
;; TBD: Is it within the rules to do that, or must it produce as an
;; intermediate result one hash table that is the sum of all of the
;; partial hash tables?
(defn combine-pieces [pieces]
  (let [p (first pieces)
        kind (:kind p)
        substr-len (:substr-len p)]
    (case kind
      :tally-all {:substr-len substr-len
                  :output (all-tally-to-str
                           (add-tally-hashmaps! (map :tally-table pieces))
                           (fn [k] (key-to-dna-str k substr-len)))}
      :tally-one {:substr-len substr-len
                  :output (one-tally-to-str (:substr p)
                                            (map :tally-table pieces))})))


(defn run [br]  
  (let [n-threads (.. Runtime getRuntime availableProcessors)
        dna-str (fasta-dna-str-with-desc-beginning "THREE" (line-seq br))
        work-pieces-todo
        (mapcat #(break-work-into-pieces % dna-str)
                [{:kind :tally-all :n-pieces 1 :substr-len 1}
                 {:kind :tally-all :n-pieces 1 :substr-len 2}
                 {:kind :tally-one :n-pieces 2 :substr "GGT"}
                 {:kind :tally-one :n-pieces 2 :substr "GGTA"}
                 {:kind :tally-one :n-pieces 3 :substr "GGTATT"}
                 {:kind :tally-one :n-pieces 3 :substr "GGTATTTTAATT"}
                 {:kind :tally-one :n-pieces 4 :substr "GGTATTTTAATTTATAGT"}])
        work-pieces-done (medusa-pmap n-threads do-one-piece work-pieces-todo)
        grouped-results (partition-by :substr-len work-pieces-done)
        combined-results (pmap combine-pieces grouped-results)
        results (sort-by :substr-len combined-results)]
    (doseq [r results]
      (println (:output r))
      (flush))))

(defn -main [& args]
  (with-open [br (java.io.BufferedReader. *in*)]
    (run br))  
  (shutdown-agents)
  (shutdown-medusa))

 make, command-line, and program output logs

Tue, 25 Mar 2014 21:14:40 GMT

MAKE:
mv knucleotide.clojure-7.clojure knucleotide.clj
/usr/local/src/jdk1.8.0/bin/java -Dclojure.compile.path=. -cp .:/usr/local/src/clojure/clojure-1.6.0-slim.jar: clojure.lang.Compile knucleotide
Compiling knucleotide to .
6.18s to complete and log all make actions

COMMAND LINE:
/usr/local/src/jdk1.8.0/bin/java -server -XX:+TieredCompilation -XX:+AggressiveOpts -Xmx1024m -cp .:/usr/local/src/clojure/clojure-1.6.0-slim.jar: knucleotide 0 < knucleotide-input25000000.txt

PROGRAM OUTPUT:
A 30.295
T 30.151
C 19.800
G 19.754

AA 9.177
TA 9.132
AT 9.131
TT 9.091
CA 6.002
AC 6.001
AG 5.987
GA 5.984
CT 5.971
TC 5.971
GT 5.957
TG 5.956
CC 3.917
GC 3.911
CG 3.909
GG 3.902

1471758	GGT
446535	GGTA
47336	GGTATT
893	GGTATTTTAATT
893	GGTATTTTAATTTATAGT

Revised BSD license

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