Affinity does not "adjust the CPU usage" (e.g. in your case make the CPUs perform less work), it allows you to either turn off a CPU (perhaps to make it available to another instance on the same machine) or set a CPU to aid with I/O only. Even if you had multiple CPUs, you wouldn't be able to use the former to help with your goal, and it is impossible for us to guess on the latter because we don't know what is driving your CPU usage so high. It could be due to extremely poor indexing, excessive compilations, abundance of scalar UDFs, I/O thrashing, who knows? (And the reason I/O could be the cause is that if your database is larger than 3 GB or so, it will constantly have to swap data in and out of buffer pool memory, and this takes its toll on CPU.)
CPU cache, also, is a rabbit hole you don't need to be going down. I highly doubt your CPU is thrashing at 95% because of problems with your CPU cache.
To help narrow down the source of CPU pressure, and assuming you're using stored procedures, you can take a look at this diagnostic query from Glenn Berry (sourced from here) - make sure you run it in the context of the right database:
-- Top Cached SPs By Total Worker time (SQL Server 2012).
-- Worker time relates to CPU cost (Query 44) (SP Worker Time)
SELECT TOP (25)
p.name AS [SP Name],
qs.total_worker_time AS [TotalWorkerTime],
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime],
qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Second, qs.cached_time, GETDATE()), 0)
AS [Calls/Second],
qs.total_elapsed_time,
qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE);
-- This helps you find the most expensive cached stored procedures from a CPU perspective
-- You should look at this if you see signs of CPU pressure
If you're not using stored procedures, then this example from John Samson can help isolate ad hoc queries (sourced from here):
SELECT TOP (25)
qs.sql_handle,
qs.execution_count,
qs.total_worker_time AS Total_CPU,
total_CPU_inSeconds = --Converted from microseconds
qs.total_worker_time/1000000,
average_CPU_inSeconds = --Converted from microseconds
(qs.total_worker_time/1000000) / qs.execution_count,
qs.total_elapsed_time,
total_elapsed_time_inSeconds = --Converted from microseconds
qs.total_elapsed_time/1000000,
st.text,
qp.query_plan
FROM sys.dm_exec_query_stats AS qs
CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS st
CROSS apply sys.dm_exec_query_plan (qs.plan_handle) AS qp
ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE);
You can also take a look at Adam Machanic's sp_WhoIsActive, a stored procedure that can quickly analyze all of the currently running queries, and allow you to sort it however you want (e.g. in your case @sort_order = '[CPU] DESC'
).
The first thing I would do, though - particularly if this really is mission critical for search and rescue teams - is buy better hardware. You should have more CPUs and more RAM to service your application. You also absolutely need better high availability (e.g. clustering, mirroring or Availability Groups). There is no reason that a reboot of a physical machine should take your application completely offline - we have better solutions for that problem. And finally, I presume this "server" only has one spinny disk drive. This means that all I/O - from the OS, from SQL Server data files, log files, tempdb, etc. all go through a single controller and share read/write activity on a single drive. Get more disks. Get SSDs if/where you can. Use RAID and try to spread the I/O out as much as possible.
That all said, throwing hardware at the problem is not going to be the only part of the fix. You need to isolate exactly what is causing excessive CPU usage and then attack those problems no matter what hardware you're on.
Also see this StackOverflow question for some other ideas:
https://stackoverflow.com/questions/945063/how-do-i-find-out-what-is-hammering-my-sql-server