model-net.h 6.42 KB
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/*
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 * Copyright (C) 2013 University of Chicago.
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 * See COPYRIGHT notice in top-level directory.
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 *
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 */

#ifndef MODELNET_H
#define MODELNET_H

#include "ross.h"
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#include "codes/lp-type-lookup.h"
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#include "codes/configuration.h"
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#include "codes/lp-io.h"
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#define MAX_NAME_LENGTH 256
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#define CATEGORY_NAME_MAX 16
#define CATEGORY_MAX 12
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typedef struct simplenet_param simplenet_param;
typedef struct dragonfly_param dragonfly_param;
typedef struct torus_param torus_param;
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typedef struct loggp_param loggp_param;
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typedef struct mn_stats mn_stats;
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enum NETWORKS
{
  SIMPLENET,
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  TORUS,
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  DRAGONFLY,
  LOGGP,
  MAX_NETS, /* sentinal value, this must be last in the enumeration */
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};

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/* data structure for tracking network statistics */
struct mn_stats
{
    char category[CATEGORY_NAME_MAX];
    long send_count;
    long send_bytes;
    tw_stime send_time;
    long recv_count;
    long recv_bytes;
    tw_stime recv_time;
    long max_event_size;
};

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/* structs for initializing a network/ specifying network parameters */
struct loggp_param
{
  char* net_config_file; /* file with loggp parameter table */
};

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/* structs for initializing a network/ specifying network parameters */
struct simplenet_param
{
  double net_startup_ns; /*simplenet startup cost*/
  double net_bw_mbps; /*Link bandwidth per byte*/
  int num_nics;
};

struct dragonfly_param
{
  int num_routers; /*Number of routers in a group*/
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  double local_bandwidth;/* bandwidth of the router-router channels within a group */
  double global_bandwidth;/* bandwidth of the inter-group router connections */
  double cn_bandwidth;/* bandwidth of the compute node channels connected to routers */
  int num_vcs; /* number of virtual channels */
  int local_vc_size; /* buffer size of the router-router channels */
  int global_vc_size; /* buffer size of the global channels */
  int cn_vc_size; /* buffer size of the compute node channels */
  short routing; /* minimal or non-minimal routing */
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};

struct torus_param
{
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  int n_dims; /*Dimension of the torus network, 5-D, 7-D or any other*/
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  int* dim_length; /*Length of each torus dimension*/
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  double link_bandwidth;/* bandwidth for each torus link */
  int buffer_size; /* number of buffer slots for each vc in flits*/
  int num_vc; /* number of virtual channels for each torus link */
  float mean_process;/* mean process time for each flit  */
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};
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 /* In general we need to figure out how to pass configuration information to
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 * the methods and we need to be able to calculate ross event message size.
 */
/*Initialize the network by specifying the network parameters. The 
 * underlying model-net.c function call will set the network parameters 
 * according to the network name specified*/
// return an integer being the identifier for the type of network
// call modelnet setup 1 time for a torus and retur value is 0 for e.g.
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/* call set params for configuring the network parameters from the config file*/
int model_net_set_params();

// setup the modelnet parameters
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int model_net_setup(char* net_name, int packet_size, const void* net_params);
/* allocate and transmit a new event that will pass through model_net to 
 * arrive at its destination:
 *
 * - category: category name to associate with this communication
 *   - OPTIONAL: callers can set this to NULL if they don't want to use it,
 *     and model_net methods can ignore it if they don't support it
 * - final_dest_lp: the LP that the message should be delivered to.
 *   - NOTE: this is _not_ the LP of an underlying network method (for
 *     example, it is not a torus or dragonfly LP), but rather the LP of an
 *     MPI process or storage server that you are transmitting to.
 * - message_size: this is the size of the message (in bytes) that modelnet
 *     will simulate transmitting to the final_dest_lp.  It can be any size
 *     (i.e. it is not constrained by transport packet size).
 * - remote_event_size: this is the size of the ROSS event structure that
 *     will be delivered to the final_dest_lp.
 * - remote_event: pointer ot data to be used as the remove event message
 * - self_event_size: this is the size of the ROSS event structure that will
 *     be delivered to the calling LP once local completion has occurred for
 *     the network transmission.
 *     - NOTE: "local completion" in this sense means that model_net has
 *       transmitted the data off of the local node, but it does not mean that
 *       the data has been (or even will be) delivered.  Once this event is
 *       delivered the caller is free to re-use its buffer.
 * - self_event: pionter to data to be used as the self event message
 * - sender: pointer to the tw_lp structure of the API caller.  This is
 *     identical to the sender argument to tw_event_new().
 */
// first argument becomes the network ID
void model_net_event(
    int net_id,
    char* category, 
    tw_lpid final_dest_lp, 
    int message_size, 
    int remote_event_size,
    const void* remote_event,
    int self_event_size,
    const void* self_event,
    tw_lp *sender);

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/* model_net_find_local_device()
 *
 * returns the LP id of the network card attached to the calling LP
 */
tw_lpid model_net_find_local_device(int net_id, tw_lp *sender);

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/* model_net_event_rc()
 *
 * This function does reverse computation for the model_net_event_new()
 * function.
 * - sender: pointer to the tw_lp structure of the API caller.  This is
 *   identical to the sender argument to tw_event_new().
 */
/* NOTE: we may end up needing additoinal arguments here to track state for
 * reverse computation; add as needed 
 */
void model_net_event_rc(
    int net_id,
    tw_lp *sender,
    int message_size);

/* returns pointer to LP information for simplenet module */
const tw_lptype* model_net_get_lp_type(int net_id);

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int model_net_get_packet_size(int net_id);
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void model_net_add_lp_type(int net_id);
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/* used for reporting overall network statistics for e.g. average latency ,
 * maximum latency, total number of packets finished during the entire
 * simulation etc. */
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void model_net_report_stats(int net_id);
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/* writing model-net statistics on a per LP basis */
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void model_net_write_stats(tw_lpid lpid, mn_stats* stat);

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/* printing model-net statistics on a per LP basis */
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void model_net_print_stats(tw_lpid lpid, mn_stats mn_stats_array[]);

/* find model-net statistics */
mn_stats* model_net_find_stats(const char* category, mn_stats mn_stats_array[]);
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#endif /* MODELNET_H */

/*
 * Local variables:
 *  c-indent-level: 4
 *  c-basic-offset: 4
 * End:
 *
 * vim: ft=c ts=8 sts=4 sw=4 expandtab
 */