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https://gitlab.com/scemama/QCaml.git
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Choosing MPI or not at configuration
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parent
881db3a586
commit
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1
.gitignore
vendored
1
.gitignore
vendored
@ -1,4 +1,5 @@
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_build/
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Makefile
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Parallel
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*.byte
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*.native
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11
Basis/ERI.ml
11
Basis/ERI.ml
@ -262,13 +262,13 @@ let of_basis_parallel basis =
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let t0 = Unix.gettimeofday () in
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let ishell = ref 0 in
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let ishell = ref 10000000 in
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let input_stream = Stream.of_list (List.rev shell_pairs) in
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let f shell_p =
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let () =
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if Parallel.rank < 2 && Cs.index (Csp.shell_a shell_p) > !ishell then
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if Parallel.rank < 2 && Cs.index (Csp.shell_a shell_p) < !ishell then
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(ishell := Cs.index (Csp.shell_a shell_p) ; print_int !ishell ; print_newline ())
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in
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@ -322,7 +322,12 @@ let of_basis_parallel basis =
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let of_basis = of_basis_parallel
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let of_basis =
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match Parallel.size with
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| 1 -> of_basis_serial
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| _ -> of_basis_parallel
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@ -3,7 +3,7 @@
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INCLUDE_DIRS=Parallel,Nuclei,Utils,Basis,SCF,MOBasis,CI
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LIBS=
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PKGS=
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OCAMLBUILD=ocamlbuild -j 0 -cflags $(ocamlcflags) -lflags $(ocamllflags) $(ocamldocflags) -Is $(INCLUDE_DIRS) -ocamlopt $(ocamloptflags)
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OCAMLBUILD=ocamlbuild -j 0 -cflags $(ocamlcflags) -lflags $(ocamllflags) $(ocamldocflags) -Is $(INCLUDE_DIRS) -ocamlopt $(ocamloptflags) $(mpi)
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MLLFILES=$(wildcard */*.mll) $(wildcard *.mll) Utils/math_functions.c
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MLYFILES=$(wildcard */*.mly) $(wildcard *.mly)
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@ -9,8 +9,6 @@ let run_sequential f stream =
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Stream.from next
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(* Multi-process functions *)
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type task_id = int
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@ -140,3 +138,4 @@ let run ?(ordered=true) ~f stream =
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| 1 -> run_sequential f stream
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| _ -> run_parallel ~ordered f stream
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13
Parallel_serial/Farm.ml
Normal file
13
Parallel_serial/Farm.ml
Normal file
@ -0,0 +1,13 @@
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(* Single process function *)
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let run_sequential f stream =
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let rec next _ =
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try
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let task = Stream.next stream in
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Some (f task)
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with Stream.Failure -> None in
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Stream.from next
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let run ?(ordered=true) ~f stream =
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run_sequential f stream
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14
Parallel_serial/Farm.mli
Normal file
14
Parallel_serial/Farm.mli
Normal file
@ -0,0 +1,14 @@
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(** The Farm skeleton, similar to SklMl.
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The input is a stream of input data, and the output is a stream of data.
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*)
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val run : ?ordered:bool -> f:('a -> 'b) -> 'a Stream.t -> 'b Stream.t
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(** Run the [f] function on every process by popping elements from the
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input stream, and putting the results on the output stream. If [ordered]
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(the default is [ordered = true], then the order of the output is kept
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consistent with the order of the input.
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*)
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126
Parallel_serial/Parallel.ml
Normal file
126
Parallel_serial/Parallel.ml
Normal file
@ -0,0 +1,126 @@
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(** Module for handling distributed parallelism *)
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let size = 1
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let rank = 0
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let master = true
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let barrier () = ()
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let broadcast x =
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Lazy.force x
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let broadcast_int x = x
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let broadcast_int_array x = x
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let broadcast_float x = x
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let broadcast_float_array x = x
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let broadcast_vec x = x
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module Vec = struct
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type t =
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{
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global_first : int ; (* Lower index in the global array *)
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global_last : int ; (* Higher index in the global array *)
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local_first : int ; (* Lower index in the local array *)
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local_last : int ; (* Higher index in the local array *)
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data : Lacaml.D.vec ; (* Lacaml vector containing the data *)
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}
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let dim vec =
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vec.global_last - vec.global_first + 1
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let local_first vec = vec.local_first
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let local_last vec = vec.local_last
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let global_first vec = vec.global_first
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let global_last vec = vec.global_last
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let data vec = vec.data
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let pp ppf v =
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Format.fprintf ppf "@[<2>";
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Format.fprintf ppf "@[ gf : %d@]@;" v.global_first;
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Format.fprintf ppf "@[ gl : %d@]@;" v.global_last;
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Format.fprintf ppf "@[ lf : %d@]@;" v.local_first;
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Format.fprintf ppf "@[ ll : %d@]@;" v.local_last;
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Format.fprintf ppf "@[ data : %a@]@;" (Lacaml.Io.pp_lfvec ()) v.data;
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Format.fprintf ppf "@]@.";
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()
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let create n =
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{
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global_first = 1 ;
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global_last = n ;
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local_first = 1 ;
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local_last = n ;
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data = Lacaml.D.Vec.create n
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}
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let make n x =
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let result = create n in
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{ result with data =
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Lacaml.D.Vec.make
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(Lacaml.D.Vec.dim result.data)
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x
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}
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let make0 n =
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make n 0.
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let init n f =
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let result = create n in
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{ result with data =
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Lacaml.D.Vec.init
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(Lacaml.D.Vec.dim result.data)
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(fun i -> f (i+result.local_first-1))
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}
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let of_array a =
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let length_a = Array.length a in
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let a =
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let n = length_a mod size in
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if n > 0 then
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Array.concat [ a ; Array.make (size-n) 0. ]
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else
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a
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in
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let result = create length_a in
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let a_local = Array.make (Array.length a) 0. in
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{ result with data = Lacaml.D.Vec.of_array a_local }
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let to_array vec =
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Lacaml.D.Vec.to_array vec.data
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|> Array.copy
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let of_vec a =
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Lacaml.D.Vec.to_array a
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|> of_array
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let to_vec v =
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to_array v
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|> Lacaml.D.Vec.of_array
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end
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let dot v1 v2 =
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if Vec.dim v1 <> Vec.dim v2 then
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invalid_arg "Incompatible dimensions";
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Lacaml.D.dot (Vec.data v1) (Vec.data v2)
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126
Parallel_serial/Parallel.mli
Normal file
126
Parallel_serial/Parallel.mli
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@ -0,0 +1,126 @@
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(** Module for handling distributed parallelism *)
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val size : int
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(** Number of distributed processes. *)
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val rank : int
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(** Rank of the current distributed processe. *)
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val master : bool
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(** True if [rank = 0]. *)
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val barrier : unit -> unit
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(** Wait for all processes to reach this point. *)
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val broadcast : 'a lazy_t -> 'a
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(** Broadcasts data to all processes. *)
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val broadcast_int : int -> int
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(** Broadcasts an [int] to all processes. *)
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val broadcast_float : float -> float
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(** Broadcasts a [float] to all processes. *)
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val broadcast_int_array : int array -> int array
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(** Broadcasts an [int array] to all processes. *)
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val broadcast_float_array : float array -> float array
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(** Broadcasts a [float array] to all processes. *)
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val broadcast_vec : Lacaml.D.vec -> Lacaml.D.vec
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(** Broadcasts a Lacaml vector to all processes. *)
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(** {5 Vector operations} *)
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module Vec : sig
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type t = private
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{
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global_first : int ; (* Lower index in the global array *)
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global_last : int ; (* Higher index in the global array *)
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local_first : int ; (* Lower index in the local array *)
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local_last : int ; (* Higher index in the local array *)
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data : Lacaml.D.vec ; (* Lacaml vector containing the data *)
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}
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val pp : Format.formatter -> t -> unit
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(** {6 Creation/conversion of vectors} *)
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val create : int -> t
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(** [create n] @return a distributed vector with [n] rows (not initialized). *)
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val make : int -> float -> t
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(** [make n x] @return a distributed vector with [n] rows initialized with value [x]. *)
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val make0 : int -> t
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(** [make0 n x] @return a distributed vector with [n] rows initialized with the zero
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element. *)
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val init : int -> (int -> float) -> t
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(** [init n f] @return a distributed vector containing [n] elements, where
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each element at position [i] is initialized by the result of calling [f i]. *)
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val of_array : float array -> t
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(** [of_array ar] @return a distributed vector initialized from array [ar]. *)
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val to_array : t -> float array
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(** [to_array v] @return an array initialized from vector [v]. *)
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val of_vec : Lacaml.D.vec -> t
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(** [of_vec vec] @return a distributed vector initialized from Lacaml vector [vec]. *)
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val to_vec : t -> Lacaml.D.vec
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(** [to_vec v] @return a Lacaml vector initialized from vector [v]. *)
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(** {6 Accessors } *)
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val dim : t -> int
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(** [dim v] @return the dimension of the vector [v]. *)
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val global_first : t -> int
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(** [global_first v] @return the index of the first element of [v]. *)
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val global_last : t -> int
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(** [global_last v] @return the index of the last element of [v]. *)
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val local_first : t -> int
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(** [local_first v] @return the index of the first element of the local piece of [v]. *)
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val global_last : t -> int
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(** [local_last v] @return the index of the last element of the local piece of [v]. *)
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val data : t -> Lacaml.D.vec
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(** [data v] @return the local Lacaml vector in which the piece of the vector [v] is stored. *)
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end
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(*
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module Mat : sig
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type t =
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{
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global_first_row : int ; (* Lower row index in the global array *)
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global_last_row : int ; (* Higher row index in the global array *)
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global_first_col : int ; (* Lower column index in the global array *)
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global_last_col : int ; (* Higher column index in the global array *)
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local_first_row : int ; (* Lower row index in the local array *)
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local_last_row : int ; (* Higher row index in the local array *)
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local_first_col : int ; (* Lower column index in the local array *)
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local_last_col : int ; (* Higher column index in the local array *)
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data : Lacaml.D.mat ; (* Lacaml matrix containing the data *)
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}
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end
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val gemm : Mat.t -> Mat.t -> Mat.t
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(* Distributed matrix-matrix product. The result is a distributed matrix. *)
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*)
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val dot : Vec.t -> Vec.t-> float
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(* Dot product between distributed vectors. *)
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2
_tags
2
_tags
@ -1,4 +1,4 @@
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true: package(str,unix,bigarray,lacaml,alcotest,zarith,mpi)
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true: package(str,unix,bigarray,lacaml,alcotest,zarith)
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<*.byte> : linkdep(Utils/math_functions.o), custom
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<*.native>: linkdep(Utils/math_functions.o)
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<odoc-ltxhtml>: not_hygienic
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11
configure
vendored
11
configure
vendored
@ -15,6 +15,7 @@ ocamlcflags='"-g -warn-error A"'
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ocamllflags='"-g -warn-error A"'
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ocamloptflags='"opt -O3 -nodynlink -remove-unused-arguments -rounds 16 -inline 100 -inline-max-unroll 100"'
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ocamldocflags='-docflags "-g ltxhtml.cma -sort -css-style $(PWD)/style.css -colorize-code"'
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mpi=''
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# --------------------------------
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@ -42,6 +43,7 @@ where options include:
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-etc dir default: $etc
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-ocamlcflags default: $ocamlcflags
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-ocamloptflags default: $ocamloptflags
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-mpi default: mpi off
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EOF
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exit
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@ -73,6 +75,8 @@ while : ; do
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-share|--share)
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share="$2"
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shift;;
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-mpi|--mpi)
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mpi='-tag "package(mpi)"';;
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-help|--help)
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help;;
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*)
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@ -82,6 +86,12 @@ while : ; do
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shift
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done
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rm -f Parallel
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if [[ -n $mpi ]] ; then
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ln -s Parallel_mpi Parallel
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else
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ln -s Parallel_serial Parallel
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fi
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cat << EOF > Makefile
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package_name=$package_name
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@ -92,6 +102,7 @@ doc=$doc
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share=$share
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man=$man
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etc=$etc
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mpi=$mpi
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ocamlcflags=$ocamlcflags
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ocamllflags=$ocamllflags
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