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Linda Jill Seamonson

from Wellesley, MA
Age ~68

Linda Seamonson Phones & Addresses

  • 29 Hundreds Rd, Wellesley Hills, MA 02481 (781) 239-3348
  • 40 Chestnut St, Wellesley Hills, MA 02481 (781) 239-3348
  • Wellesley, MA
  • Cambridge, MA
  • Wellesley Hls, MA

Work

Company: Harvard book store Position: Owner

Industries

Retail

Resumes

Resumes

Linda Seamonson Photo 1

Owner

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Location:
29 Hundreds Rd, Wellesley, MA 02481
Industry:
Retail
Work:
Harvard Book Store
Owner

Business Records

Name / Title
Company / Classification
Phones & Addresses
Linda Seamonson
Treasurer, Director
Harvard Book Store
Retail · Books · Business Office · Book Stores
1256 Massachusetts Ave, Cambridge, MA 02138
Wellesley Hills, MA 02481
(617) 661-1248, (617) 661-1515, (617) 497-1158

Publications

Us Patents

System And Method For Compiling A Source Code Supporting Data Parallel Variables

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US Patent:
52789861, Jan 11, 1994
Filed:
Dec 13, 1991
Appl. No.:
7/805566
Inventors:
Karen C. Jourdenais - Concord MA
James L. Frankel - Lexington MA
Steven N. Goldhaber - Boulder CO
Linda J. Seamonson - Wellesley MA
Assignee:
Thinking Machines Corporation - Cambridge MA
International Classification:
G06F 944
US Classification:
395700
Abstract:
A compiler for compiling a computer program which is adapted for use with a data parallel computer. The compiler supports variables which involve parallelism. Variables which involve parallelism are parallel variables, templates for parallel variables called shapes, and pointers to parallel variables. For each variable involving parallelism declared globally in the source code, the compiler of the present invention emits in the target code a declaration of a global scalar variable. It further emits in the target code a start trap. When executed, the start trap allocates memory and a data structure for the global variables involving parallelism. The start trap also initializes the data structures and global variables involving parallelism. Finally, the compiler of the present invention emits in the target code one or more statements which, at run time, will cause the start trap to be invoked before the execution of any statement in which one of the global variables involving parallelism is read from or written to.

System And Method For Compiling A Fine-Grained Array Based Source Program Onto A Course-Grained Hardware

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US Patent:
52748189, Dec 28, 1993
Filed:
Feb 3, 1992
Appl. No.:
7/827942
Inventors:
Alexander D. Vasilevsky - Watertown MA
Gary W. Sabot - Cambridge MA
Clifford A. Lasser - Cambridge MA
Lisa A. Tennies - Bedford MA
Tobias M. Weinberg - Somerville MA
Linda J. Seamonson - Wellesley MA
Assignee:
Thinking Machines Corporation - Cambridge MA
International Classification:
G06F 900
US Classification:
395700
Abstract:
The present invention provides a parallel vector machine model for building a compiler that exploits three different levels of parallelism found in a variety of parallel processing machines, and in particular, the Connection Machine. RTM. Computer CM-2 system. The fundamental idea behind the parallel vector machine model is to have a target machine that has a collection of thousands of vector processors each with its own interface to memory. Thus allowing a fine-grained array-based source program to be mapped onto a course-grained hardware made up of the vector processors. In the parallel vector machine model used by CM Fortran 1. 0, the FPUs, their registers, and the memory hiearchy are directly exposed to the compiler. Thus, the CM-2 target machine is not 64K simple bit-serial processors. Rather, the target is a machine containing 2K PEs (processing elements), where each PE is both superpipelined and superscalar.

System And Method For Compiling A Source Code Supporting Data Parallel Variables

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US Patent:
53815505, Jan 10, 1995
Filed:
Jan 10, 1994
Appl. No.:
8/179267
Inventors:
Karen C. Jourdenais - Concord MA
James L. Frankel - Lexington MA
Steven N. Goldhaber - Boulder CO
Linda J. Seamonson - Wellesley MA
Assignee:
Thinking Machines Corporation - Cambridge MA
International Classification:
G06F 944
US Classification:
395700
Abstract:
A compiler for compiling a computer program which is adapted for use with a data parallel computer. The compiler supports variables which involve parallelism. Variables which involve parallelism are parallel variables, templates for parallel variables called shapes, and pointers to parallel variables. For each variable involving parallelism declared globally in the source code, the compiler of the present invention emits in the target code a declaration of a global scalar variable. It further emits in the target code a start trap. When executed, the start trap allocates memory and a data structure for the global variables involving parallelism. The start trap also initializes the data structures and global variables involving parallelism. Finally, the compiler of the present invention emits in the target code one or more statements which, at run time, will cause the start trap to be invoked before the execution of any statement in which one of the global variables involving parallelism is read from or written to.
Linda Jill Seamonson from Wellesley, MA, age ~68 Get Report